Bartlett, Jonathan W; Frost, Chris; Carpenter, James R; (2011) Multiple imputation models should incorporate the outcome in the model of interest. Brain, 134 (Pt 11). e189-. ISSN 0006-8950 DOI: https://doi.org/10.1093/brain/awr061 Full text not available from this repository.

Bartlett, Jonathan W; Harel, Ofer; Carpenter, James R; (2016) The Authors Reply. American journal of epidemiology, 184 (2). 161-. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kww067 Full text not available from this repository.

Brunton-Smith, I; Carpenter, JR; Kenward, MG; Tarling, R; (2014) Multiple Imputation for handling missing data in social research. Social Research Update, 65. pp. 1-4. http://sru.soc.surrey.ac.uk/ Full text not available from this repository.

Burzykowski, T; Carpenter, J; Coens, C; Evans, D; France, L; Kenward, M; Lane, P; Matcham, J; Morgan, D; Phillips, A; +4 more... Roger, J; Sullivan, B; White, I; Yu, LM; (2009) Missing data: Discussion points from the PSI missing data expert group. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/2460 Full text not available from this repository.

Burzykowski, Tomasz; Carpenter, James; Coens, Corneel; Evans, Daniel; France, Lesley; Kenward, Mike; Lane, Peter; Matcham, James; Morgan, David; Phillips, Alan; +5 more... Roger, James; Sullivan, Brian; White, Ian; Yu, Ly-Mee; of the PSI Missing Data Expert Group; (2010) Missing data: discussion points from the PSI missing data expert group. Pharmaceutical statistics, 9 (4). pp. 288-297. ISSN 1539-1604 DOI: https://doi.org/10.1002/pst.391 Full text not available from this repository.

Carpenter, J; (2002) Models for Repeated Measurements (second edition). Internatinal Journal of Epidemiology (31). pp. 701-702. https://researchonline.lshtm.ac.uk/id/eprint/15721 Full text not available from this repository.

Carpenter, J; (2002) Data analysis by Resampling: Concepts and Applications (Book Review). Biometrics. pp. 258-259. ISSN 0006-341X https://researchonline.lshtm.ac.uk/id/eprint/18198 Full text not available from this repository.

Carpenter, J; Evans, S; Kenward, M; (2003) A method for utilising expert opinion to interpret a RCT with non-response, applied to a RCT of interventions to improve peer review. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/15945 Full text not available from this repository.

Carpenter, J; Petersen, I; Welch, C; Bartlett, Jonathan; Walters, K; Morris, R; White, I; Marston, L; Nazareth, I; (2011) Multiple Imputation for Missing Data in Electronic Health Databases: Practical Issues and Some Solutions. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/4 Full text not available from this repository.

Carpenter, J; Plewis, I; (2011) Analysing longitudinal studies with non-response: issues and statistical methods. In: Williams, M; Vogt, P, (eds.) The SAGE handbook of Innovation in Social Research Methods. Sage, New York, pp. 498-523. https://researchonline.lshtm.ac.uk/id/eprint/179961 Full text not available from this repository.

Carpenter, JR; (2005) The Jackknife. In: Everitt, B; Palmer, C, (eds.) Encyclopaedic Companion to Medical Statistics. Hodder & Stoughton, London. https://researchonline.lshtm.ac.uk/id/eprint/12430 Full text not available from this repository.

Carpenter, JR; (2005) Multilevel Models. In: Everitt, B; Palmer, C, (eds.) Encyclopaedic Companion to Medical Statistics. Hodder & Stoughton, London. https://researchonline.lshtm.ac.uk/id/eprint/12431 Full text not available from this repository.

Carpenter, JR; (2005) The Bootstrap. In: Everitt, B; Palmer, C, (eds.) Encyclopaedic Companion to Medical Statistics. Hodder & Stoughton, London. https://researchonline.lshtm.ac.uk/id/eprint/12432 Full text not available from this repository.

Carpenter, JR; Goldstein, H; Kenward, MG; (2012) Statistical modelling of partially observed data using multiple imputation: principles and practice. In: Yu-Kang, T; Greenwood, D, (eds.) Modern methods for epidemiology. Springer, New York. ISBN 9789400730243 DOI: https://doi.org/10.1007/978-94-007-3024-3_2 Full text not available from this repository.

Carpenter, JR; Kenward, MG; (2016) Sensitivity analysis with multiple imputation. In: Molenberghs, G; Fitzmaurice, G; Kenward, MG; Tsiatis, A; Verbeke, G, (eds.) Handbook of missing data methodology. CRC press, Florida, pp. 435-470. ISBN 978-1-4398-5461-7 https://researchonline.lshtm.ac.uk/id/eprint/2869423 Full text not available from this repository.

Carpenter, JR; Kenward, MG; (2015) Developments of methods and critique of ad hoc methods. In: Molenberghs, G; Fitzmaurice, G; Kenward, MG; Tsiatis, A; Verbeke, G, (eds.) Handbook of missing data methodology. CRC Press, Florida, pp. 23-46. ISBN 978-1-4398-5461-7 https://researchonline.lshtm.ac.uk/id/eprint/2869428 Full text not available from this repository.

Carpenter, JR; Roger, JH; Cro, S; Kenward, MG; (2014) Response to comments by Seaman et al. on "Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation," Journal of Biopharmaceutical Statistics 23:1352-1371. Journal of biopharmaceutical statistics, 24 (6). pp. 1363-1369. ISSN 1054-3406 DOI: https://doi.org/10.1080/10543406.2014.960085 Full text not available from this repository.

Carpenter, James; (2012) Special issue marking 40 years of the MSc Medical Statistics at the London School of Hygiene & Tropical Medicine. Statistical methods in medical research, 21 (3). 221-. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280210394485 Full text not available from this repository.

Carpenter, James R; (2013) Book Review. Journal of biopharmaceutical statistics, 23 (6). pp. 1453-1455. ISSN 1054-3406 DOI: https://doi.org/10.1080/10543406.2013.834795 Full text not available from this repository.

Carpenter, James R; (2006) Commentary: on Bayesian perspectives for epidemiological research. International journal of epidemiology, 35 (3). pp. 775-777. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyl055 Full text not available from this repository.

Carpenter, James R; Goldstein, Harvey; Rasbash, Jon; (2003) A Novel Bootstrap Procedure for Assessing the Relationship between Class Size and Achievement. Applied statistics, 52 (4). pp. 431-443. ISSN 0035-9254 DOI: https://doi.org/10.1111/1467-9876.00415 Full text not available from this repository.

Carpenter, James R; Kenward, Michael G; Vansteelandt, Stijn; (2006) A Comparison of Multiple Imputation and Doubly Robust Estimation for Analyses with Missing Data. Journal of the Royal Statistical Society Series A, (Statistics in Society), 169 (3). pp. 571-584. ISSN 0964-1998 DOI: https://doi.org/10.1111/j.1467-985x.2006.00407.x Full text not available from this repository.

Carpenter, James R; Kenward, Michael G; White, Ian R; (2007) Sensitivity analysis after multiple imputation under missing at random: a weighting approach. Statistical methods in medical research, 16 (3). pp. 259-275. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280206075303 Full text not available from this repository.

Carpenter, James R; Roger, James H; Kenward, Michael G; (2013) Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation. Journal of biopharmaceutical statistics, 23 (6). pp. 1352-1371. ISSN 1054-3406 DOI: https://doi.org/10.1080/10543406.2013.834911 Full text not available from this repository.

Carpenter, James R; Schwarzer, Guido; Rücker, Gerta; Künstler, Rita; (2009) Empirical evaluation showed that the Copas selection model provided a useful summary in 80% of meta-analyses. Journal of clinical epidemiology, 62 (6). 624-631.e4. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2008.12.002 Full text not available from this repository.

Carpenter, James; Kenward, Mike; Evans, Stephen; White, Ian; (2004) Last observation carry-forward and last observation analysis. Statistics in medicine, 23 (20). pp. 3241-3242. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.1891 Full text not available from this repository.

Carpenter, James; Pocock, Stuart; Lamm, Carl Johan; (2002) Coping with missing data in clinical trials: a model-based approach applied to asthma trials. Statistics in medicine, 21 (8). pp. 1043-1066. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.1065 Full text not available from this repository.

Carpenter, James; Rücker, Gerta; Schwarzer, Guido; (2008) Comments on 'Fixed vs random effects meta-analysis in rare event studies: the rosiglitazone link with myocardial infarction and cardiac death'. Statistics in medicine, 27 (19). pp. 3910-3912. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.3173 Full text not available from this repository.

Carpenter, James; Rücker, Gerta; Schwarzer, Guido; (2011) Assessing the sensitivity of meta-analysis to selection bias: a multiple imputation approach. Biometrics, 67 (3). pp. 1066-1072. ISSN 0006-341X DOI: https://doi.org/10.1111/j.1541-0420.2010.01498.x Full text not available from this repository.

Chan, C-W; Tsochatzis, EA; Carpenter, JR; Rigamonti, C; Gunsar, F; Burroughs, AK; (2010) Predicting the advent of ascites and other complications in primary biliary cirrhosis: a staged model approach. Alimentary pharmacology & therapeutics, 31 (5). pp. 573-582. ISSN 0269-2813 DOI: https://doi.org/10.1111/j.1365-2036.2009.04215.x Full text not available from this repository.

Chan, CW; Carpenter, JR; Mela, M; Patch, DW; Burroughs, AK; (2003) Modelling advent of complications in primary biliary cirrhosis. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/15206 Full text not available from this repository.

Chan, CW; Carpenter, JR; Rigamonti, C; Gunsar, F; Burroughs, AK; (2004) Survival following the development of ascites and/or oedema in primary biliary cirrhosis: A stage prognostic model. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/14702 Full text not available from this repository.

Chan, CW; Gunsar, F; Feudjo, M; Rigamonti, C; Vlachogiannakos, J; Carpenter, JR; Burroughs, AK; (2005) Long-term ursodeoxycholic acid therapy for primary biliary cirrhosis: a follow-up to 12 years. Alimentary pharmacology & therapeutics, 21 (3). pp. 217-226. ISSN 0269-2813 DOI: https://doi.org/10.1111/j.1365-2036.2005.02318.x Full text not available from this repository.

Chan, Chun-Wing; Carpenter, James R; Rigamonti, Cristina; Gunsar, Fulya; Burroughs, Andrew K; (2005) Survival following the development of ascites and/or peripheral oedema in primary biliary cirrhosis: a staged prognostic model. Scandinavian journal of gastroenterology, 40 (9). pp. 1081-1089. ISSN 0036-5521 DOI: https://doi.org/10.1080/00365520510023215 Full text not available from this repository.

Copas, J; Jones, DR; Spiegelhalter, D; Rice, K; Armstrong, B; Senn, S; Carpenter, J; Kenward, M; De Stavola, B; Nitsch, D; +8 more... Muirhead, CR; Hodges, J; Longford, NT; Gelman, A; Draper, D; Gustafson, P; McCandless, L; Rubin, DB; (2005) Multiple-bias modelling for analysis of observational data - Discussion. Journal of the Royal Statistical Society Series A, (Statistics in Society), 168. pp. 291-306. ISSN 0964-1998 https://researchonline.lshtm.ac.uk/id/eprint/13803 Full text not available from this repository.

Cro, Suzie; Morris, Tim P; Kenward, Michael G; Carpenter, James R; (2016) Reference-based sensitivity analysis via multiple imputation for longitudinal trials with protocol deviation. The Stata journal, 16 (2). pp. 443-463. ISSN 1536-867X DOI: https://doi.org/10.1177/1536867x1601600211 Full text not available from this repository.

Driessen, J; Williamson, E; Carpenter, J; de Vries, F; (2016) Evaluation of Different Missing Data Strategies in Propensity Score Analyses. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/3515668 Full text not available from this repository.

Falcaro, Milena; Nur, Ula; Rachet, Bernard; Carpenter, James R; (2015) Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation. Epidemiology (Cambridge, Mass), 26 (3). pp. 421-428. ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000283 Full text not available from this repository.

Goldstein, H; Carpenter, JR; (2015) Multilevel multiple imputation. In: Molenberghs, G; Fitzmaurice, G; Kenward, MG; Tsiatis, A; Verbeke, G, (eds.) Handbook of missing data methodology. CRC press, Florida, pp. 295-376. ISBN 978-1-4398-5461-7 https://researchonline.lshtm.ac.uk/id/eprint/2869420 Full text not available from this repository.

Goldstein, Harvey; Carpenter, James R; Browne, William J; (2014) Fitting Multilevel Multivariate Models with Missing Data in Responses and Covariates that May Include Interactions and Non-Linear Terms. Journal of the Royal Statistical Society Series A, (Statistics in Society), 177 (2). pp. 553-564. ISSN 0964-1998 DOI: https://doi.org/10.1111/rssa.12022 Full text not available from this repository.

Goldstein, Harvey; Carpenter, James; Kenward, Michael G; Levin, Kate A; (2009) Multilevel models with multivariate mixed response types. Statistical modelling, 9 (3). pp. 173-197. ISSN 1471-082X DOI: https://doi.org/10.1177/1471082x0800900301 Full text not available from this repository.

Gomes, Manuel; Grieve, Richard; Nixon, Richard; Ng, Edmond S-W; Carpenter, James; Thompson, Simon G; (2012) Methods for covariate adjustment in cost-effectiveness analysis that use cluster randomised trials. Health economics, 21 (9). pp. 1101-1118. ISSN 1057-9230 DOI: https://doi.org/10.1002/hec.2812 Full text not available from this repository.

Grieve, Richard; Guerriero, Carla; Walker, Jemma; Tomlin, Keith; Langham, Julia; Harding, Simon; Chakravathy, Usha; Carpenter, James; Reeves, Barnaby C; Verteporfin Photodynamic Therapy Cohort Study Group; (2009) Verteporfin photodynamic therapy cohort study: report 3: cost effectiveness and lessons for future evaluations. Ophthalmology, 116 (12). 2471-77.e1-2-. ISSN 0161-6420 DOI: https://doi.org/10.1016/j.ophtha.2009.10.023 Full text not available from this repository.

Groenwold, Rolf HH; White, Ian R; Donders, A Rogier T; Carpenter, James R; Altman, Douglas G; Moons, Karel GM; (2012) Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis. CMAJ, 184 (11). pp. 1265-1269. ISSN 0820-3946 DOI: https://doi.org/10.1503/cmaj.110977 Full text not available from this repository.

Guarino, Peter; Elbourne, Diana; Carpenter, James; Peduzzi, Peter; (2006) Consumer involvement in consent document development: a multicenter cluster randomized trial to assess study participants' understanding. Clinical trials (London, England), 3 (1). pp. 19-30. ISSN 1740-7745 DOI: https://doi.org/10.1191/1740774506cn133oa Full text not available from this repository.

Guarino, Peter; Lamping, Donna L; Elbourne, Diana; Carpenter, James; Peduzzi, Peter; (2006) A brief measure of perceived understanding of informed consent in a clinical trial was validated. Journal of clinical epidemiology, 59 (6). pp. 608-614. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2005.11.009 Full text not available from this repository.

Harding, Simon P; Tomlin, Keith; Reeves, Barnaby C; Langham, Julia; Walker, Jemma; Carpenter, James; Grieve, Richard; Patton, William P; Muldrew, Katherine A; Peto, Tunde; +2 more... Chakravarthy, Usha; Verteporfin Photodynamic Therapy Cohort Study Group; (2009) Verteporfin photodynamic therapy cohort study: report 1: effectiveness and factors influencing outcomes. Ophthalmology, 116 (12). e1-e8. ISSN 0161-6420 DOI: https://doi.org/10.1016/j.ophtha.2009.10.022 Full text not available from this repository.

Harrison, David A; Brady, Anthony R; Parry, Gareth J; Carpenter, James R; Rowan, Kathy; (2006) Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom. Critical care medicine, 34 (5). pp. 1378-1388. ISSN 0090-3493 DOI: https://doi.org/10.1097/01.CCM.0000216702.94014.75 Full text not available from this repository.

Harrison, David A; Lertsithichai, Panuwat; Brady, Anthony R; Carpenter, James R; Rowan, Kathy; (2004) Winter excess mortality in intensive care in the UK: an analysis of outcome adjusted for patient case mix and unit workload. Intensive care medicine, 30 (10). pp. 1900-1907. ISSN 0342-4642 DOI: https://doi.org/10.1007/s00134-004-2390-6 Full text not available from this repository.

Harrison, David A; Parry, Gareth J; Carpenter, James R; Short, Alasdair; Rowan, Kathy; (2007) A new risk prediction model for critical care: the Intensive Care National Audit & Research Centre (ICNARC) model. Critical care medicine, 35 (4). pp. 1091-1098. ISSN 0090-3493 DOI: https://doi.org/10.1097/01.CCM.0000259468.24532.44 Full text not available from this repository.

Hogan, Joseph W; Carpenter, James; van Houwelingen, Hans C; Sousa, Ines; Didelez, Vanessa; Cox, DR; Aalen, Odd O; Commenges, Daniel; Lawless, Richard Cook Jerry; Hand, David J; +13 more... Lin, Haiqun; Lunn, Mary; Martinussen, Torben; Molenberghs, Geert; Verbeke, Geert; Pipper, Christian B; Scheike, Thomas H; Scheike, Thomas H; Pipper, Christian B; Solis-Trapala, IL; Taylor, Jeremy MG; Zeng, D; Lin, DY; (2007) Discussion on the paper by Diggle, Farewell and Henderson. Applied statistics, 56. pp. 530-550. ISSN 0035-9254 https://researchonline.lshtm.ac.uk/id/eprint/8472 Full text not available from this repository.

Horton, Nicholas J; White, Ian R; Carpenter, James; (2010) The performance of multiple imputation for missing covariates relative to complete case analysis. Statistics in medicine, 29 (12). 1357-. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.3872 Full text not available from this repository.

Kenward, MG; Carpenter, JR; (2008) Multiple Imputation. In: Davidian, M; Fitzmaurice, G; Molenberghs, G; Verbeke, G, (eds.) Longitudinal Data Analysis: A Handbook of Modern Statistical Methods. CRC Press, Florida, pp. 477-499. https://researchonline.lshtm.ac.uk/id/eprint/9242 Full text not available from this repository.

Kenward, Michael G; Carpenter, James; (2007) Multiple imputation: current perspectives. Statistical methods in medical research, 16 (3). pp. 199-218. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280206075304 Full text not available from this repository.

Kenward, Michael G; Carpenter, James R; (2009) Comments on: Missing data methods in longitudinal studies: a review. Test (Madrid, Spain), 18 (1). pp. 65-67. ISSN 1133-0686 DOI: https://doi.org/10.1007/s11749-009-0143-0 Full text not available from this repository.

Kenward, Michael G; White, Ian R; Carpenter, James R; (2010) Should baseline be a covariate or dependent variable in analyses of change from baseline in clinical trials? by G. F. Liu, K. Lu, R. Mogg, M. Mallick and D. V. Mehrotra, Statistics in Medicine 2009; 28:2509-2530. Statistics in medicine, 29 (13). pp. 1455-1456. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.3868 Full text not available from this repository.

Lodi, S; Evans, S; Carpenter, J; (2007) No evidence for anti-inflammatory effects of statins for rheumatoid arthritis patients in a large claims database. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/8471 Full text not available from this repository.

Lodi, Sara; Evans, Stephen JW; Egger, Peter; Carpenter, James; (2010) Is there an anti-inflammatory effect of statins in rheumatoid arthritis? Analysis of a large routinely collected claims database. British journal of clinical pharmacology, 69 (1). pp. 85-94. ISSN 0306-5251 DOI: https://doi.org/10.1111/j.1365-2125.2009.03560.x Full text not available from this repository.

Marston, Louise; Carpenter, James R; Walters, Kate R; Morris, Richard W; Nazareth, Irwin; Petersen, Irene; (2010) Issues in multiple imputation of missing data for large general practice clinical databases. Pharmacoepidemiology and drug safety, 19 (6). pp. 618-626. ISSN 1053-8569 DOI: https://doi.org/10.1002/pds.1934 Full text not available from this repository.

Mason, AJ; Gomes, M; Grieve, R; Carpenter, J; (2017) Rejoinder. Clinical trials (London, England). p. 1740774517711444. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774517711444 Full text not available from this repository.

Mason, Alexina J; Gomes, Manuel; Grieve, Richard; Carpenter, James; (2017) Rejoinder. Clinical trials (London, England), 14 (4). pp. 370-371. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774517711444 Full text not available from this repository.

Ng, Edmond S-W; Diaz-Ordaz, Karla; Grieve, Richard; Nixon, Richard M; Thompson, Simon G; Carpenter, James R; (2013) Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice. Statistical methods in medical research, 25 (5). pp. 2036-2052. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280213511719 Full text not available from this repository.

Ng, Edmond S-W; Grieve, Richard; Carpenter, James R; (2013) Two-Stage Nonparametric Bootstrap Sampling with Shrinkage Correction for Clustered Data. The Stata journal, 13 (1). pp. 141-164. ISSN 1536-867X DOI: https://doi.org/10.1177/1536867x1301300111 Full text not available from this repository.

Ng, Edmond SW; Carpenter, James R; Goldstein, Harvey; Rasbash, Jon; (2006) Estimation in generalised linear mixed models with binary outcomes by simulated maximum likelihood. Statistical modelling, 6 (1). pp. 23-42. ISSN 1471-082X DOI: https://doi.org/10.1191/1471082x06st106oa Full text not available from this repository.

Nieminen, Pentti; Rucker, Gerta; Miettunen, Jouko; Carpenter, James; Schumacher, Martin; (2007) Statistically significant papers in psychiatry were cited more often than others. Journal of clinical epidemiology, 60 (9). pp. 939-946. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2006.11.014 Full text not available from this repository.

Nur, Ula; Shack, Lorraine G; Rachet, Bernard; Carpenter, James R; Coleman, Michel P; (2010) Modelling relative survival in the presence of incomplete data: a tutorial. International journal of epidemiology, 39 (1). pp. 118-128. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyp309 Full text not available from this repository.

Optimising Analysis of Stroke Trials (OAST) Collaboration; Bath, Philip MW; Gray, Laura J; Collier, Timothy; Pocock, Stuart; Carpenter, James; (2007) Can we improve the statistical analysis of stroke trials? Statistical reanalysis of functional outcomes in stroke trials. Stroke; a journal of cerebral circulation, 38 (6). pp. 1911-1915. ISSN 0039-2499 DOI: https://doi.org/10.1161/STROKEAHA.106.474080 Full text not available from this repository.

Parmar, Mahesh KB; Carpenter, James; Sydes, Matthew R; (2014) More multiarm randomised trials of superiority are needed. Lancet, 384 (9940). pp. 283-284. ISSN 0140-6736 DOI: https://doi.org/10.1016/S0140-6736(14)61122-3 Full text not available from this repository.

Petersen, Irene; Carpenter, James; Welch, Catherine; Walters, Kate; Morris, Richard; White, Ian; Marston, Louise; Nazareth, Irwin; (2011) Missing Data Imputation in Electronic Health Databases: Development of a Longitudinal Model for Cardiovascular Risk Factors. Pharmacoepidemiology and drug safety, 20. S231-S232. ISSN 1053-8569 https://researchonline.lshtm.ac.uk/id/eprint/18717 Full text not available from this repository.

Reeves, Barnaby C; Langham, Julia; Walker, Jemma; Grieve, Richard; Chakravarthy, Usha; Tomlin, Keith; Carpenter, James; Guerriero, Carla; Harding, Simon P; Verteporfin Photodynamic Therapy Cohort Study Group; (2009) Verteporfin photodynamic therapy cohort study: report 2: clinical measures of vision and health-related quality of life. Ophthalmology, 116 (12). pp. 2463-2470. ISSN 0161-6420 DOI: https://doi.org/10.1016/j.ophtha.2009.10.031 Full text not available from this repository.

Rücker, Gerta; Carpenter, James R; Schwarzer, Guido; (2011) Detecting and adjusting for small-study effects in meta-analysis. Biometrical journal Biometrische Zeitschrift, 53 (2). pp. 351-368. ISSN 0323-3847 DOI: https://doi.org/10.1002/bimj.201000151 Full text not available from this repository.

Rücker, Gerta; Schwarzer, Guido; Carpenter, James; (2007) Arcsine test for publication bias in meta-analyses with binary outcomes. Statistics in medicine, 27 (5). pp. 746-763. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.2971 Full text not available from this repository.

Rücker, Gerta; Schwarzer, Guido; Carpenter, James R; Binder, Harald; Schumacher, Martin; (2010) Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis. Biostatistics (Oxford, England), 12 (1). pp. 122-142. ISSN 1465-4644 DOI: https://doi.org/10.1093/biostatistics/kxq046 Full text not available from this repository.

Rücker, Gerta; Schwarzer, Guido; Carpenter, James; Olkin, Ingram; (2009) Why add anything to nothing? The arcsine difference as a measure of treatment effect in meta-analysis with zero cells. Statistics in medicine, 28 (5). pp. 721-738. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.3511 Full text not available from this repository.

Rücker, Gerta; Schwarzer, Guido; Carpenter, James; Schumacher, Martin; (2010) Comments on 'Empirical vs natural weighting in random effects meta-analysis' by JJ Shuster, Statistics in Medicine 2009; 26, Published online, DOI: 10.1002/sim.3607. Statistics in medicine, 29 (28). pp. 2963-2965. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.3957 Full text not available from this repository.

Rücker, Gerta; Schwarzer, Guido; Schumacher, Martin; Carpenter, James; (2009) Are large trials less reliable than small trials? Journal of clinical epidemiology, 62 (8). pp. 886-887. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2009.03.007 Full text not available from this repository.

Schwarzer, G; Carpenter, JR; Rucker, G; (2015) Meta-analysis with R. Springer International Publishing, New York. ISBN 9783319214153 https://researchonline.lshtm.ac.uk/id/eprint/2319347 Full text not available from this repository.

Schwarzer, Guido; Carpenter, James; Rücker, Gerta; (2010) Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis. Journal of clinical epidemiology, 63 (3). pp. 282-288. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2009.05.008 Full text not available from this repository.

Spratt, Michael; Carpenter, James; Sterne, Jonathan AC; Carlin, John B; Heron, Jon; Henderson, John; Tilling, Kate; (2010) Strategies for multiple imputation in longitudinal studies. American journal of epidemiology, 172 (4). pp. 478-487. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kwq137 Full text not available from this repository.

Vansteelandt, Stijn; Carpenter, James; Kenward, Michael G; (2010) Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators. Methodology, 6 (1). pp. 37-48. ISSN 1614-1881 DOI: https://doi.org/10.1027/1614-2241/a000005 Full text not available from this repository.

Verzilli, CJ; Carpenter, JR; (2002) Estimating uncertainty in parameter estimates with incomplete data: an application to repeated oridinal measurements [Abstract S20]. Controlled clinical trials, 23 (2S). 37S-94S. ISSN 0197-2456 https://researchonline.lshtm.ac.uk/id/eprint/18199 Full text not available from this repository.

Verzilli, Claudio J; Carpenter, James R; (2002) A Monte Carlo EM algorithm for random-coefficient-based dropout models. Journal of applied statistics, 29 (7). pp. 1011-1021. ISSN 0266-4763 DOI: https://doi.org/10.1080/0266476022000006711 Full text not available from this repository.

Verzilli, Claudio J; Carpenter, James R; (2002) Assessing uncertainty about parameter estimates with incomplete repeated ordinal data. Statistical Modelling, 2 (3). pp. 203-215. ISSN 1477-0342 DOI: https://doi.org/10.1191/1471082x02st033oa Full text not available from this repository.

Vlachogiannakos, Jiannis; Carpenter, James; Goulis, John; Triantos, Christos; Patch, David; Burroughs, Andrew K; (2009) Variceal bleeding in primary biliary cirrhosis patients: a subgroup with improved prognosis and a model to predict survival after first bleeding. European journal of gastroenterology & hepatology, 21 (6). pp. 701-707. ISSN 0954-691X DOI: https://doi.org/10.1097/MEG.0b013e328320005f Full text not available from this repository.

Wang, Jichuan; Carpenter, James R; Kepler, Michael A; (2006) Using SAS to conduct nonparametric residual bootstrap multilevel modeling with a small number of groups. Computer methods and programs in biomedicine, 82 (2). pp. 130-143. ISSN 0169-2607 DOI: https://doi.org/10.1016/j.cmpb.2006.02.006 Full text not available from this repository.

Welch, C; Petersen, I; Walters, K; Morris, RW; Nazareth, I; Kalaitzaki, E; White, IR; Marston, L; Carpenter, J; (2012) Two-stage method to remove population- and individual-level outliers from longitudinal data in a primary care database. Pharmacoepidemiology and drug safety, 21 (7). pp. 725-732. ISSN 1053-8569 DOI: https://doi.org/10.1002/pds.2270 Full text not available from this repository.

White, Ian R; Carpenter, James; Evans, Stephen; Schroter, Sara; (2007) Eliciting and using expert opinions about dropout bias in randomized controlled trials. Clinical trials (London, England), 4 (2). pp. 125-139. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774507077849 Full text not available from this repository.

White, Ian R; Carpenter, James; Horton, Nicholas J; (2012) Including all individuals is not enough: lessons for intention-to-treat analysis. Clinical trials (London, England), 9 (4). pp. 396-407. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774512450098 Full text not available from this repository.

White, Ian R; Carpenter, James; Pocock, Stuart J; Henderson, Robert A; (2003) Adjusting treatment comparisons to account for non-randomized interventions: an example from an angina trial. Statistics in medicine, 22 (5). pp. 781-793. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.1369 Full text not available from this repository.

White, Ian R; Horton, Nicholas; Carpenter, James; (2009) Complete-cases analysis is appropriate for randomised trials with pre-test-post-test designs. Psychiatry research, 168 (3). 268-. ISSN 0165-1781 DOI: https://doi.org/10.1016/j.psychres.2009.01.003 Full text not available from this repository.

White, Ian R; Koupilova, Ilona; Carpenter, James; (2003) The use of regression models for medians when observed outcomes may be modified by interventions. Statistics in medicine, 22 (7). pp. 1083-1096. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.1408 Full text not available from this repository.

Williamson, EJ; Morley, R; Lucas, A; Carpenter, JR; (2012) Variance estimation for stratified propensity score estimators. Statistics in medicine, 31 (15). pp. 1617-1632. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.4504 Full text not available from this repository.

Williamson, Elizabeth; Morley, Ruth; Lucas, Alan; Carpenter, James; (2011) Propensity scores: from naive enthusiasm to intuitive understanding. Statistical methods in medical research, 21 (3). pp. 273-293. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280210394483 Full text not available from this repository.

Wood, Angela M; White, Ian R; Hillsdon, Melvyn; Carpenter, James; (2005) Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes. International journal of epidemiology, 34 (1). pp. 89-99. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyh297 Full text not available from this repository.

Alldred, David Phillip; Standage, Claire; Fletcher, Olivia; Savage, Imogen; Carpenter, James; Barber, Nick; Raynor, David Kenneth; (2011) The influence of formulation and medicine delivery system on medication administration errors in care homes for older people. BMJ quality & safety, 20 (5). pp. 397-401. ISSN 2044-5415 DOI: https://doi.org/10.1136/bmjqs.2010.046318

Atkinson, Andrew; Cro, Suzie; Carpenter, James R; Kenward, Michael G; (2021) Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis. Statistica Neerlandica, 75 (4). pp. 500-523. ISSN 0039-0402 DOI: https://doi.org/10.1111/stan.12250

Atkinson, Andrew; Kenward, Michael G; Clayton, Tim; Carpenter, James R; (2019) Reference-based sensitivity analysis for time-to-event data. PHARMACEUTICAL STATISTICS, 18 (6). pp. 645-658. ISSN 1539-1604 DOI: https://doi.org/10.1002/pst.1954

Atkinson, Andrew; Zwahlen, Marcel; Barger, Diana; d'Arminio Monforte, Antonella; De Wit, Stephane; Ghosn, Jade; Girardi, Enrico; Svedhem, Veronica; Morlat, Philippe; Mussini, Cristina; +10 more... Noguera-Julian, Antoni; Stephan, Christoph; Touloumi, Giota; Kirk, Ole; Mocroft, Amanda; Reiss, Peter; Miro, Jose M; Carpenter, James R; Furrer, Hansjakob; Opportunistic Infections Project Working Group of the Collaborat; (2020) Withholding Primary Pneumocystis Pneumonia Prophylaxis in Virologically Suppressed Patients With Human Immunodeficiency Virus: An Emulation of a Pragmatic Trial in COHERE. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 73 (2). pp. 195-202. ISSN 1058-4838 DOI: https://doi.org/10.1093/cid/ciaa615

Audigier, Vincent; White, Ian R; Jolani, Shahab; Debray, Thomas PA; Quartagno, Matteo; Carpenter, James; van Buuren, Stef; Resche-Rigon, Matthieu; (2018) Multiple Imputation for Multilevel Data with Continuous and Binary Variables. STATISTICAL SCIENCE, 33 (2). pp. 160-183. ISSN 0883-4237 DOI: https://doi.org/10.1214/18-sts646

Barber, ND; Alldred, DP; Raynor, DK; Dickinson, R; Garfield, S; Jesson, B; Lim, R; Savage, I; Standage, C; Buckle, P; +4 more... Carpenter, J; Franklin, B; Woloshynowych, M; Zermansky, AG; (2009) Care homes' use of medicines study: prevalence, causes and potential harm of medication errors in care homes for older people. Quality & safety in health care, 18 (5). pp. 341-346. ISSN 1475-3898 DOI: https://doi.org/10.1136/qshc.2009.034231

Bartlett, Jonathan W; Carpenter, James R; Tilling, Kate; Vansteelandt, Stijn; (2015) Corrigendum: Improving upon the efficiency of complete case analysis when covariates are MNAR (10.1093/biostatistics/kxu023). Biostatistics (Oxford, England), 16 (1). 205-. ISSN 1465-4644 DOI: https://doi.org/10.1093/biostatistics/kxu051

Bartlett, Jonathan W; Carpenter, James R; Tilling, Kate; Vansteelandt, Stijn; (2014) Improving upon the efficiency of complete case analysis when covariates are MNAR. Biostatistics (Oxford, England), 15 (4). pp. 719-730. ISSN 1465-4644 DOI: https://doi.org/10.1093/biostatistics/kxu023

Bartlett, Jonathan W; Harel, Ofer; Carpenter, James R; (2015) Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression. American journal of epidemiology, 182 (8). pp. 730-736. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kwv114

Bartlett, Jonathan W; Seaman, Shaun R; White, Ian R; Carpenter, James R; Alzheimer's Disease Neuroimaging Initiative*; (2014) Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model. Statistical methods in medical research, 24 (4). pp. 462-487. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214521348

Bazo-Alvarez, Juan Carlos; Morris, Tim P; Carpenter, James R; Hayes, Joseph F; Petersen, Irene; (2019) Effects of long-term antipsychotics treatment on body weight: A population-based cohort study. Journal of psychopharmacology, 34 (1). pp. 79-85. ISSN 0269-8811 DOI: https://doi.org/10.1177/0269881119885918

Bazo-Alvarez, Juan Carlos; Morris, Tim P; Carpenter, James R; Petersen, Irene; (2021) Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research. Clinical epidemiology, 13. pp. 603-613. ISSN 1179-1349 DOI: https://doi.org/10.2147/CLEP.S314020

Bazo-Alvarez, Juan Carlos; Morris, Tim P; Pham, Tra My; Carpenter, James R; Petersen, Irene; (2020) Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data. Clinical epidemiology, 12. pp. 1045-1057. ISSN 1179-1349 DOI: https://doi.org/10.2147/CLEP.S266428

Blackshaw, Helen; Vennik, Jane; Philpott, Carl; Thomas, Mike; Eyles, Caroline; Carpenter, James; Clarke, Caroline S; Morris, Steve; Schilder, Anne; Lund, Valerie; +10 more... Little, Paul; Durham, Stephen; Denaxas, Spiros; Williamson, Elizabeth; Beard, David; Cook, Jonathan; Le Conte, Steffi; Airey, Kim; Boardman, Jim; Hopkins, Claire; (2019) Expert panel process to optimise the design of a randomised controlled trial in chronic rhinosinusitis (the MACRO programme). Trials, 20 (1). 230-. DOI: https://doi.org/10.1186/s13063-019-3318-3

Blake, HA; (2020) Dealing with partially observed covariates in propensity score analysis of observational data. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04656433

Blake, Helen A; Leyrat, Clémence; Mansfield, Kathryn E; Seaman, Shaun; Tomlinson, Laurie A; Carpenter, James; Williamson, Elizabeth J; (2020) Propensity scores using missingness pattern information: a practical guide. Statistics in Medicine, 39 (11). pp. 1641-1657. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.8503

Blake, Helen A; Leyrat, Clémence; Mansfield, Kathryn E; Tomlinson, Laurie A; Carpenter, James; Williamson, Elizabeth J; (2020) Estimating treatment effects with partially observed covariates using outcome regression with missing indicators. Biometrical Journal, 62 (2). pp. 428-443. ISSN 0323-3847 DOI: https://doi.org/10.1002/bimj.201900041

Carpenter, J; , R; Kenward, M; , G; (2013) Multiple imputation and its application. Wiley, Chichester, p. 364. ISBN 978-0-470-74052-1 https://researchonline.lshtm.ac.uk/id/eprint/1260511

Carpenter, J; Rücker, G; Schwarzer, G; (2009) copas: An R package for Fitting the Copas Selection Model. The R Journal, 1 (2). p. 31. DOI: https://doi.org/10.32614/rj-2009-012

Carpenter, JR; Kenward, MG; (2007) Missing data in randomised controlled trials: a practical guide. Health Technology Assessment Methodology Programme, Birmingham, p. 199. https://researchonline.lshtm.ac.uk/id/eprint/4018500

Carpenter, James R; (2022) A Celebration of Harvey Goldstein’s Lifetime Contributions: Foreword. Journal of the Royal Statistical Society: Statistics in Society Series A, 185 (3). pp. 747-748. ISSN 0964-1998 DOI: https://doi.org/10.1111/rssa.12896

Carpenter, James R; Goldstein, Harvey; Kenward, Michael G; (2011) <b>REALCOM-IMPUTE</b>Software for Multilevel Multiple Imputation with Mixed Response Types. Journal of statistical software, 45 (5). pp. 1-14. ISSN 1548-7660 DOI: https://doi.org/10.18637/jss.v045.i05

Carpenter, James R; Rücker, Gerta; Schwarzer, Guido; (2020) Discussion on 'Testing small study effects in multivariate meta-analysis' by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong Chen. Biometrics, 76 (4). pp. 1260-1261. ISSN 0006-341X DOI: https://doi.org/10.1111/biom.13344

Carpenter, James R; Smuk, Melanie; (2021) Missing data: A statistical framework for practice. Biometrical journal. Biometrische Zeitschrift, 63 (5). pp. 915-947. ISSN 0323-3847 DOI: https://doi.org/10.1002/bimj.202000196

Carpenter, James R; Todd, Jim; Baisley, Kathy; Bradley, John; Tumwesigye, Nazarius Mbona; Musonda, Patrick; Chirwa, Tobias; (2022) Training and capacity building in medical statistics in Sub-Saharan Africa: Impact of the London School of Hygiene & Tropical Medicine MSc in Medical Statistics, 1969 to 2021. Statistics in medicine, 41 (5). pp. 838-844. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.9304

Carpenter, James; Hutchings, Andrew; Raine, Rosalind; Sanderson, Colin; (2007) An experimental study of the influence of individual participant characteristics on formal consensus development. International journal of technology assessment in health care, 23 (1). pp. 108-115. ISSN 0266-4623 DOI: https://doi.org/10.1017/S0266462307051641

Carpenter, Robert; McGarvey, Cliona; Mitchell, Edwin A; Tappin, David M; Vennemann, Mechtild M; Smuk, Melanie; Carpenter, James R; (2013) Bed sharing when parents do not smoke: is there a risk of SIDS? An individual level analysis of five major case-control studies. BMJ open, 3 (5). e002299-e002299. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2012-002299

Chirwa, Tobias F; Matsena Zingoni, Zvifadzo; Munyewende, Pascalia; Manda, Samuel O; Mwambi, Henry; Kandala, Ngianga-Bakwin; Kinyanjui, Samson; Young, Taryn; Musenge, Eustasius; Simbeye, Jupiter; +21 more... Musonda, Patrick; Mahande, Michael Johnson; Weke, Patrick; Onyango, Nelson Owuor; Kazembe, Lawrence; Tumwesigye, Nazarius Mbona; Zuma, Khangelani; Yende-Zuma, Nonhlanhla; Omanyondo Ohambe, Marie-Claire; Kweku, Emmanuel Nakua; Maposa, Innocent; Ayele, Birhanu; Achia, Thomas; Machekano, Rhoderick; Thabane, Lehana; Levin, Jonathan; Eijkemans, Marinus JC; Carpenter, James; Chasela, Charles; Klipstein-Grobusch, Kerstin; Todd, Jim; (2020) Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence. AAS open research, 3. 51-. ISSN 2515-9321 DOI: https://doi.org/10.12688/aasopenres.13144.2

Clark, Timothy Peter; Kahan, Brennan C; Phillips, Alan; White, Ian; Carpenter, James R; (2022) Estimands: bringing clarity and focus to research questions in clinical trials. BMJ OPEN, 12 (1). e052953-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2021-052953

Clarke, Caroline S; Williamson, Elizabeth; Denaxas, Spiros; Carpenter, James R; Thomas, Mike; Blackshaw, Helen; Schilder, Anne GM; Philpott, Carl M; Hopkins, Claire; Morris, Stephen; +1 more... MACRO programme team; (2022) Observational retrospective study calculating health service costs of patients receiving surgery for chronic rhinosinusitis in England, using linked patient-level primary and secondary care electronic data. BMJ OPEN, 12 (2). e055603-. DOI: https://doi.org/10.1136/bmjopen-2021-055603

Cornish, RP; Macleod, J; Carpenter, JR; Tilling, K; (2017) Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study. Emerging themes in epidemiology, 14 (1). 14-. ISSN 1742-7622 DOI: https://doi.org/10.1186/s12982-017-0068-0

Cro, S; (2017) Relevant Accessible Sensitivity Analysis for Clinical Trials with Missing Data. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.03817571

Cro, Suzie; Carpenter, James R; Kenward, Michael G; (2018) Information-anchored sensitivity analysis: theory and application. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182 (2). pp. 623-645. ISSN 0964-1998 DOI: https://doi.org/10.1111/rssa.12423

Cro, Suzie; Kahan, Brennan C; Rehal, Sunita; Chis Ster, Anca; Carpenter, James R; White, Ian R; Cornelius, Victoria R; (2022) Evaluating how clear the questions being investigated in randomised trials are: systematic review of estimands. BMJ, 378. e070146-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj-2022-070146

Cro, Suzie; Morris, Tim P; Kahan, Brennan C; Cornelius, Victoria R; Carpenter, James R; (2020) A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic. BMC medical research methodology, 20 (1). 208-. ISSN 1471-2288 DOI: https://doi.org/10.1186/s12874-020-01089-6

Cro, Suzie; Morris, Tim P; Kenward, Michael G; Carpenter, James R; (2020) Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide. STATISTICS IN MEDICINE, 39 (21). pp. 2815-2842. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.8569

Curnow, Elinor; Tilling, Kate; Heron, Jon E; Cornish, Rosie P; Carpenter, James R; (2023) Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias. Frontiers in epidemiology, 3. 1237447-. ISSN 2674-1199 DOI: https://doi.org/10.3389/fepid.2023.1237447

Dodd, Matthew; Fielding, Katherine; Carpenter, James R; Thompson, Jennifer A; Elbourne, Diana; (2022) Statistical methods for non-adherence in non-inferiority trials: useful and used? A systematic review. BMJ open, 12 (1). e052656-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2021-052656

Ewings, Fiona M; Ford, Deborah; Walker, A Sarah; Carpenter, James; Copas, Andrew; (2014) Optimal CD4 count for initiating HIV treatment: impact of CD4 observation frequency and grace periods, and performance of dynamic marginal structural models. Epidemiology (Cambridge, Mass), 25 (2). pp. 194-202. ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000043

Falcaro, Milena; Carpenter, James R; (2017) Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation. Cancer epidemiology, 48. pp. 16-21. ISSN 1877-7821 DOI: https://doi.org/10.1016/j.canep.2017.02.005

Fisher, David J; Carpenter, James R; Morris, Tim P; Freeman, Suzanne C; Tierney, Jayne F; (2017) Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach? BMJ (Clinical research ed), 356. j573-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.j573

Free, Caroline; McCarthy, Ona L; Palmer, Melissa J; Knight, Rosemary; Edwards, Phil; French, Rebecca; Baraitser, Paula; Hickson, Ford Colin Ian; Wellings, Kaye; Roberts, Ian; +9 more... Bailey, Julia V; Hart, Graham; Michie, Susan; Clayton, Tim; Ploubidis, George B; Carpenter, James R; Turner, Katy ME; Devries, Karen; Potter, Kimberley; (2020) Safetxt: a safer sex intervention delivered by mobile phone messaging on sexually transmitted infections (STI) among young people in the UK - protocol for a randomised controlled trial. BMJ OPEN, 10 (3). e031635-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2019-031635

Free, Caroline; Palmer, Melissa J; McCarthy, Ona L; Jerome, Lauren; Berendes, Sima; Knight, Megan; Carpenter, James R; Morris, Tim P; Jamal, Zahra; Dhaliwal, Farandeep; +15 more... French, Rebecca S; Hickson, Ford Colin Ian; Gubijev, Anasztazia; Wellings, Kaye; Baraitser, Paula; Roberts, Ian; Bailey, Julia V; Clayton, Tim; Devries, Karen; Edwards, Phil; Hart, Graham; Michie, Susan; Macgregor, Louis; Turner, Katy ME; Potter, Kimberley; (2022) Effectiveness of a behavioural intervention delivered by text messages (safetxt) on sexually transmitted reinfections in people aged 16-24 years: randomised controlled trial. BMJ, 378. e070351-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj-2022-070351

Free, Caroline; Palmer, Melissa J; Potter, Kimberley; McCarthy, Ona L; Jerome, Lauren; Berendes, Sima; Gubijev, Anasztazia; Knight, Megan; Jamal, Zahra; Dhaliwal, Farandeep; +15 more... Carpenter, James R; Morris, Tim P; Edwards, Phil; French, Rebecca; Macgregor, Louis; Turner, Katy ME; Baraitser, Paula; Hickson, Ford CI; Wellings, Kaye; Roberts, Ian; Bailey, Julia V; Hart, Graham; Michie, Susan; Clayton, Tim; Devries, Karen; (2023) Behavioural intervention to reduce sexually transmitted infections in people aged 16–24 years in the UK: the safetxt RCT. Public health research, 11 (1). pp. 1-96. ISSN 2050-4381 DOI: https://doi.org/10.3310/dane8826

Free, Caroline; Palmer, Melissa; McCarthy, Ona; Jerome, Lauren; Berendes, Sima; Knight, Megan; Carpenter, James; Morris, Tim; Jamal, Zahra; Dhaliwal, Farandeep; +15 more... French, Rebecca; Hickson, Ford Colin Ian; Gubijev, Anasztazia; Wellings, Kaye; Baraitser, Paula; Roberts, Ian; Bailey, Julia; Clayton, Tim; Devries, Karen; Edwards, Phil; Hart, Graham; Michie, Susan; Macgregor, Louis; Turner, Katy ME; Potter, Kimberley; (2022) Safetxt: A randomised controlled trial of a behavioural intervention delivered by text messages to reduce sexually transmitted re-infections in people aged 16-24. British Medical Journal, 378. e070351. ISSN 1759-2151 https://researchonline.lshtm.ac.uk/id/eprint/4666559

Freeman, SC; Fisher, D; Tierney, JF; Carpenter, JR; (2018) A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis. Research synthesis methods, 9 (3). pp. 393-407. ISSN 1759-2879 DOI: https://doi.org/10.1002/jrsm.1300

Freeman, Suzanne C; Carpenter, James R; (2017) Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models. Research synthesis methods, 8 (4). pp. 451-464. ISSN 1759-2879 DOI: https://doi.org/10.1002/jrsm.1253

Freeman, Suzanne C; Cooper, Nicola J; Sutton, Alex J; Crowther, Michael J; Carpenter, James R; Hawkins, Neil; (2022) Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: Application to a melanoma network. Statisitical methods in medical research, 31 (5). pp. 839-861. ISSN 0962-2802 DOI: https://doi.org/10.1177/09622802211070253

Freeman, Suzanne C; Fisher, David; White, Ian R; Auperin, Anne; Carpenter, James R; (2019) Identifying inconsistency in network meta-analysis: Is the net heat plot a reliable method? Statistics in medicine, 38 (29). pp. 5547-5564. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.8383

Gibbons, C; Bruce, J; Carpenter, J; Wilson, AP; Wilson, J; Pearson, A; Lamping, DL; Krukowski, ZH; Reeves, BC; (2011) Identification of risk factors by systematic review and development of risk-adjusted models for surgical site infection. Health technology assessment (Winchester, England), 15 (30). 1-iv. ISSN 1366-5278 DOI: https://doi.org/10.3310/hta15300

Gilham, Clare; Rake, Christine; Burdett, Garry; Nicholson, Andrew G; Davison, Leslie; Franchini, Angelo; Carpenter, James; Hodgson, John; Darnton, Andrew; Peto, Julian; (2015) Pleural mesothelioma and lung cancer risks in relation to occupational history and asbestos lung burden. Occupational and environmental medicine, 73 (5). pp. 290-299. ISSN 1351-0711 DOI: https://doi.org/10.1136/oemed-2015-103074

Goldstein, Harvey; Carpenter, James; Kenward, Michael G; (2018) Bayesian Models for Weighted Data with Missing Values: A Bootstrap Approach. Applied statistics, 67 (4). pp. 1071-1081. ISSN 0035-9254 DOI: https://doi.org/10.1111/rssc.12259

Gomes, Manuel; Kenward, Michael G; Grieve, Richard; Carpenter, James; (2020) Estimating treatment effects under untestable assumptions with nonignorable missing data. STATISTICS IN MEDICINE, 39 (11). pp. 1658-1674. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.8504

Gomes, Manuel; Ng, Edmond S-W; Grieve, Richard; Nixon, Richard; Carpenter, James; Thompson, Simon G; (2012) Developing appropriate methods for cost-effectiveness analysis of cluster randomized trials. Medical decision making, 32 (2). pp. 350-361. ISSN 0272-989X DOI: https://doi.org/10.1177/0272989X11418372

Hollestein, LM; Carpenter, JR; (2018) Missing data in clinical research: an integrated approach. The British journal of dermatology, 177 (6). pp. 1463-1465. ISSN 0007-0963 DOI: https://doi.org/10.1111/bjd.16010

Hosseini, Mostafa; (1997) Construction of height and weight growth charts for Iran, with an investigation of appropriate statistical methods. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.00682246

Hughes, Rachael A; White, Ian R; Seaman, Shaun R; Carpenter, James R; Tilling, Kate; Sterne, Jonathan AC; (2014) Joint modelling rationale for chained equations. BMC medical research methodology, 14 (1). 28-. ISSN 1471-2288 DOI: https://doi.org/10.1186/1471-2288-14-28

Héraud-Bousquet, Vanina; Larsen, Christine; Carpenter, James; Desenclos, Jean-Claude; Le Strat, Yann; (2012) Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data. BMC medical research methodology, 12 (1). 73-. ISSN 1471-2288 DOI: https://doi.org/10.1186/1471-2288-12-73

Jackson, Dan; White, Ian R; Carpenter, James; (2012) Identifying influential observations in Bayesian models by using Markov chain Monte Carlo. Statistics in medicine, 31 (11-12). pp. 1238-1248. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.4356

Jackson, Dan; White, Ian R; Seaman, Shaun; Evans, Hannah; Baisley, Kathy; Carpenter, James; (2014) Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation. Statistics in medicine, 33 (27). pp. 4681-4694. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6274

Kahan, Brennan C; Morris, Tim P; Goulão, Beatriz; Carpenter, James; (2022) Estimands for factorial trials. Statistics in medicine, 41 (22). pp. 4299-4310. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.9510

Kahan, Brennan C; Morris, Tim P; White, Ian R; Carpenter, James; Cro, Suzie; (2021) Estimands in published protocols of randomised trials: urgent improvement needed. TRIALS, 22 (1). 686-. ISSN 1745-6215 DOI: https://doi.org/10.1186/s13063-021-05644-4

Khundi, M; (2023) Towards a framework for improved targeting of tuberculosis interventions: a spatial analysis of patient notification and prevalence survey data from urban Blantyre, Malawi. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04670919

Khundi, McEwen; Carpenter, James R; Corbett, Elizabeth L; Feasey, Helena RA; Soko, Rebecca Nzawa; Nliwasa, Marriott; Twabi, Hussein; Chiume, Lingstone; Burke, Rachael M; Horton, Katherine C; +3 more... Dodd, Peter J; Cohen, Ted; MacPherson, Peter; (2022) Neighbourhood prevalence-to-notification ratios for adult bacteriologically-confirmed tuberculosis reveals hotspots of underdiagnosis in Blantyre, Malawi. PloS one, 17 (5). e0268749-. ISSN 1932-6203 DOI: https://doi.org/10.1371/journal.pone.0268749

Khundi, McEwen; Carpenter, James R; Nliwasa, Marriott; Cohen, Ted; Corbett, Elizabeth L; MacPherson, Peter; (2021) Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review. BMJ open, 11 (7). e044715-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2020-044715

Khundi, McEwen; MacPherson, Peter; Feasey, Helena RA; Nzawa Soko, Rebeca; Nliwasa, Marriott; Corbett, Elizabeth L; Carpenter, James R; (2021) Clinical, health systems and neighbourhood determinants of tuberculosis case fatality in urban Blantyre, Malawi: a multilevel epidemiological analysis of enhanced surveillance data. Epidemiology and Infection, 149. ISSN 0950-2688 DOI: https://doi.org/10.1017/s0950268821001862

Lee, Katherine J; Tilling, Kate M; Cornish, Rosie P; Little, Roderick JA; Bell, Melanie L; Goetghebeur, Els; Hogan, Joseph W; Carpenter, James R; STRATOS initiative; STRATOS initiative; (2021) Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework. Journal of clinical epidemiology, 134. pp. 79-88. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2021.01.008

Lensen, Sarah; Macnair, Archie; Love, Sharon B; Yorke-Edwards, Victoria; Noor, Nurulamin M; Martyn, Meredith; Blenkinsop, Alexandra; Diaz-Montana, Carlos; Powell, Graham; Williamson, Elizabeth; +2 more... Carpenter, James; Sydes, Matthew R; (2020) Access to routinely collected health data for clinical trials - review of successful data requests to UK registries. TRIALS, 21 (1). 398-. ISSN 1745-6215 DOI: https://doi.org/10.1186/s13063-020-04329-8

Leurent, B; (2019) Cost-effectiveness analysis with informative missing data: tools and strategies. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04653636

Leurent, Baptiste; Gomes, Manuel; Carpenter, James; (2018) Comment on: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial. PharmacoEconomics, 36 (10). 1297-. ISSN 1170-7690 DOI: https://doi.org/10.1007/s40273-018-0700-z

Leurent, Baptiste; Gomes, Manuel; Carpenter, James R; (2018) Missing data in trial-based cost-effectiveness analysis: An incomplete journey. Health economics, 27 (6). pp. 1024-1040. ISSN 1057-9230 DOI: https://doi.org/10.1002/hec.3654

Leurent, Baptiste; Gomes, Manuel; Cro, Suzie; Wiles, Nicola; Carpenter, James R; (2019) Reference-based multiple imputation for missing data sensitivity analyses in trial-based cost-effectiveness analysis. Health Economics, 29 (2). pp. 171-184. ISSN 1057-9230 DOI: https://doi.org/10.1002/hec.3963

Leurent, Baptiste; Gomes, Manuel; Faria, Rita; Morris, Stephen; Grieve, Richard; Carpenter, James R; (2018) Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial. PharmacoEconomics, 36 (8). pp. 889-901. ISSN 1170-7690 DOI: https://doi.org/10.1007/s40273-018-0650-5

Leurent, Baptiste; Gomes, Manuel; Faria, Rita; Morris, Stephen; Grieve, Richard; Carpenter, James R; (2019) Correction to: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial. PharmacoEconomics, 37 (7). 971-. ISSN 1170-7690 DOI: https://doi.org/10.1007/s40273-019-00776-7

Leyrat, C; Seaman, SR; White, IR; Douglas, I; Smeeth, L; Kim, J; Resche-Rigon, M; Carpenter, JR; Williamson, EJ; (2017) Propensity score analysis with partially observed covariates: How should multiple imputation be used? Statistical methods in medical research. p. 962280217713032. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280217713032

Leyrat, Clémence; Carpenter, James R; Bailly, Sébastien; Williamson, Elizabeth J; (2020) Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why. American journal of epidemiology, 190 (4). pp. 663-672. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kwaa225

Lodi, Sara; Carpenter, James; Egger, Peter; Evans, Stephen; (2011) Design of cohort studies in chronic diseases using routinely collected databases when a prescription is used as surrogate outcome. BMC medical research methodology, 11 (1). 36-. ISSN 1471-2288 DOI: https://doi.org/10.1186/1471-2288-11-36

Louzada, Francisco; Marchi, Vitor; Carpenter, James; (2013) The Complementary Exponentiated Exponential Geometric Lifetime Distribution. Journal of Probability and Statistics, 2013. pp. 1-12. DOI: https://doi.org/10.1155/2013/502159

Macnair, Archie; Love, Sharon B; Murray, Macey L; Gilbert, Duncan C; Parmar, Mahesh KB; Denwood, Tom; Carpenter, James; Sydes, Matthew R; Langley, Ruth E; Cafferty, Fay H; (2021) Accessing routinely collected health data to improve clinical trials: recent experience of access. Trials, 22 (1). 340-. ISSN 1745-6215 DOI: https://doi.org/10.1186/s13063-021-05295-5

Marston, Louise; Carpenter, James R; Walters, Kate R; Morris, Richard W; Nazareth, Irwin; White, Ian R; Petersen, Irene; (2014) Smoker, ex-smoker or non-smoker? The validity of routinely recorded smoking status in UK primary care: a cross-sectional study. BMJ open, 4 (4). e004958-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2014-004958

Mason, Alexina J; Gomes, Manuel; Carpenter, James; Grieve, Richard; (2021) Flexible Bayesian longitudinal models for cost-effectiveness analyses with informative missing data. Health economics, 30 (12). pp. 3138-3158. ISSN 1057-9230 DOI: https://doi.org/10.1002/hec.4408

Mason, Alexina J; Gomes, Manuel; Grieve, Richard; Carpenter, James R; (2018) A Bayesian framework for health economic evaluation in studies with missing data. Health economics, 27 (11). pp. 1670-1683. ISSN 1057-9230 DOI: https://doi.org/10.1002/hec.3793

Mason, Alexina J; Gomes, Manuel; Grieve, Richard; Ulug, Pinar; Powell, Janet T; Carpenter, James; (2017) Development of a practical approach to expert elicitation for randomised controlled trials with missing health outcomes: Application to the IMPROVE trial. Clinical trials (London, England), 14 (4). pp. 357-367. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774517711442

Mehta, Arpan R; Pal, Suvankar; Chataway, Jeremy; Carpenter, James R; Parmar, Mahesh KB; Chandran, Siddharthan; (2022) Smarter adaptive platform clinical trials in neurology: a showcase for UK innovation. Brain, 145 (8). e64-e65. ISSN 0006-8950 DOI: https://doi.org/10.1093/brain/awac169

Mirza, Aziza; Yorke-Edwards, Victoria; Lensen, Sarah; Murray, Macey L; Diaz-Montana, Carlos; Carpenter, James; Sydes, Matthew R; Love, Sharon B; (2021) Why are feasibility studies accessing routinely collected health data? A systematic review. F1000Research, 10. p. 815. DOI: https://doi.org/10.12688/f1000research.52486.1

Morris, Richard; Petersen, Irene; Marston, Louise; Walters, Kate; Carpenter, James; Nazareth, Irwin; (2009) QRISK validation and evaluation. Bespoke cohort studies needed. BMJ (Clinical research ed), 339 (sep01 ). b3512-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.b3512

Morris, Tim P; Fisher, David J; Kenward, Michael G; Carpenter, James R; (2018) Meta-analysis of Gaussian individual patient data: Two-stage or not two-stage? Statistics in medicine, 37 (9). pp. 1419-1438. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.7589

Morris, Tim P; White, Ian R; Carpenter, James R; Stanworth, Simon J; Royston, Patrick; (2015) Combining fractional polynomial model building with multiple imputation. Statistics in medicine, 34 (25). pp. 3298-3317. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6553

Murray, Macey L; Love, Sharon B; Carpenter, James R; Hartley, Suzanne; Landray, Martin J; Mafham, Marion; Parmar, Mahesh KB; Pinches, Heather; Sydes, Matthew R; Healthcare Systems Data for Clinical Trials Collaborative Group; (2022) Data provenance and integrity of health-care systems data for clinical trials. The Lancet Digital health, 4 (8). e567-e568. ISSN 2589-7500 DOI: https://doi.org/10.1016/S2589-7500(22)00122-4

Nieminen, Pentti; Carpenter, James; Rucker, Gerta; Schumacher, Martin; (2006) The relationship between quality of research and citation frequency. BMC medical research methodology, 6 (1). 42-. ISSN 1471-2288 DOI: https://doi.org/10.1186/1471-2288-6-42

Ntoburi, Stephen; Hutchings, Andrew; Sanderson, Colin; Carpenter, James; Weber, Martin; English, Mike; Paediatric Quality of Hospital Care Indicator Panel; (2011) Development of paediatric quality of inpatient care indicators for low-income countries - A Delphi study. BMC pediatrics, 10 (1). 90-. ISSN 1471-2431 DOI: https://doi.org/10.1186/1471-2431-10-90

Opondo, Charles; Ayieko, Philip; Ntoburi, Stephen; Wagai, John; Opiyo, Newton; Irimu, Grace; Allen, Elizabeth; Carpenter, James; English, Mike; (2011) Effect of a multi-faceted quality improvement intervention on inappropriate antibiotic use in children with non-bloody diarrhoea admitted to district hospitals in Kenya. BMC pediatrics, 11 (1). 109-. ISSN 1471-2431 DOI: https://doi.org/10.1186/1471-2431-11-109

Petersen, Irene; Welch, Catherine A; Nazareth, Irwin; Walters, Kate; Marston, Louise; Morris, Richard W; Carpenter, James R; Morris, Tim P; Pham, Tra My; (2019) Health indicator recording in UK primary care electronic health records: key implications for handling missing data. CLINICAL EPIDEMIOLOGY, 11. pp. 157-167. DOI: https://doi.org/10.2147/CLEP.S191437

Peto, J; Carpenter, J; Smith, GD; Duffy, S; Houlston, R; Hunter, DJ; Mcpherson, K; Pearce, N; Romer, P; Sasieni, P; +1 more... Turnbull, C; (2020) Weekly COVID-19 testing with household quarantine and contact tracing is feasible and would probably end the epidemic. Royal Society Open Science, 7 (6). DOI: https://doi.org/10.1098/rsos.200915

Peto, Julian; Carpenter, James; Smith, George Davey; Duffy, Stephen; Houlston, Richard; Hunter, David J; McPherson, Klim; Pearce, Neil; Romer, Paul; Sasieni, Peter; +1 more... Turnbull, Clare; (2020) Weekly COVID-19 testing with household quarantine and contact tracing is feasible and would probably end the epidemic. ROYAL SOCIETY OPEN SCIENCE, 7 (6). 200915-. ISSN 2054-5703 DOI: https://doi.org/10.1098/rsos.200915

Pham, Tra My; Carpenter, James R; Morris, Tim P; Sharma, Manuj; Petersen, Irene; (2019) Ethnic Differences in the Prevalence of Type 2 Diabetes Diagnoses in the UK: Cross-Sectional Analysis of the Health Improvement Network Primary Care Database. CLINICAL EPIDEMIOLOGY, 11. pp. 1081-1088. ISSN 1179-1349 DOI: https://doi.org/10.2147/CLEP.S227621

Pham, Tra My; Carpenter, James R; Morris, Tim P; Wood, Angela M; Petersen, Irene; (2018) Population-calibrated multiple imputation for a binary/categorical covariate in categorical regression models. Statistics in medicine, 38 (5). pp. 792-808. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.8004

Pham, Tra My; Tweed, Conor D; Carpenter, James R; Kahan, Brennan C; Nunn, Andrew J; Crook, Angela M; Esmail, Hanif; Goodall, Ruth; Phillips, Patrick Pj; White, Ian R; (2022) Rethinking intercurrent events in defining estimands for tuberculosis trials. Clinical Trials, 19 (5). pp. 522-533. ISSN 1740-7745 DOI: https://doi.org/10.1177/17407745221103853

Quaresma, M; (2020) Population-based cancer survival at small area level: methodological developments. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04658175

Quaresma, Manuela; Carpenter, James R; Turculet, Adrian; Rachet, Bernard; (2021) Variation in colon cancer survival for patients living and receiving care in London, 2006-2013: does where you live matter? Journal of epidemiology and community health, 76 (2). pp. 196-205. ISSN 0143-005X DOI: https://doi.org/10.1136/jech-2021-217043

Quaresma, Manuela; Carpenter, James; Rachet, Bernard; (2019) Flexible Bayesian excess hazard models using low-rank thin plate splines. Statistical methods in medical research, 29 (6). pp. 1700-1714. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280219874094

Quartagno, M; (2016) Multiple Imputation for Individual Patient Data Meta-Analyses. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.03141186

Quartagno, M; Carpenter, J; (2018) Multilevel Multiple Imputation in presence of interactions, non-linearities and random slopes Imputazione Multipla Multilivello in presenza di interazioni, non-linearit`a e pendenze casuali. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/4648780

Quartagno, M; Carpenter, JR; (2015) Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates. Statistics in medicine, 35 (17). pp. 2938-2954. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6837

Quartagno, M; Carpenter, JR; Goldstein, H; (2019) Multiple Imputation with Survey Weights: A Multilevel Approach. Journal of Survey Statistics and Methodology, 8 (5). pp. 965-989. ISSN 2325-0984 DOI: https://doi.org/10.1093/jssam/smz036

Quartagno, Matteo; Carpenter, James R; (2022) Substantive model compatible multilevel multiple imputation: A joint modeling approach. Statistics in medicine, 41 (25). pp. 5000-5015. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.9549

Quartagno, Matteo; Carpenter, James R; (2019) Multiple imputation for discrete data: Evaluation of the joint latent normal model. Biometrical journal, 61 (4). pp. 1003-1019. ISSN 0323-3847 DOI: https://doi.org/10.1002/bimj.201800222

Quartagno, Matteo; Walker, A Sarah; Carpenter, James R; Phillips, Patrick Pj; Parmar, Mahesh Kb; (2018) Rethinking non-inferiority: a practical trial design for optimising treatment duration. Clinical trials (London, England), 15 (5). pp. 477-488. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774518778027

Reeves, BC; Harding, SP; Langham, J; Grieve, R; Tomlin, K; Walker, J; Guerriero, C; Carpenter, J; Patton, WP; Muldrew, KA; +2 more... Peto, T; Chakravarthy, U; (2012) Verteporfin photodynamic therapy for neovascular age-related macular degeneration: cohort study for the UK. Health technology assessment (Winchester, England), 16 (6). i-200. ISSN 1366-5278 DOI: https://doi.org/10.3310/hta16060

Rehal, Sunita; Cro, Suzie; Phillips, Patrick Pj; Fielding, Katherine; Carpenter, James R; (2023) Handling intercurrent events and missing data in non-inferiority trials using the estimand framework: A tuberculosis case study. Clinical trials (London, England), 20 (5). pp. 497-506. ISSN 1740-7745 DOI: https://doi.org/10.1177/17407745231176773

Rehal, Sunita; Morris, Tim P; Fielding, Katherine; Carpenter, James R; Phillips, Patrick PJ; (2016) Non-inferiority trials: are they inferior? A systematic review of reporting in major medical journals. BMJ open, 6 (10). e012594-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2016-012594

Reiss, Kate; Andersen, Kathryn; Barnard, Sharmani; Ngo, Thoai D; Biswas, Kamal; Smith, Christopher; Carpenter, James; Church, Kathryn; Nuremowla, Sadid; Pearson, Erin; (2017) Using automated voice messages linked to telephone counselling to increase post-menstrual regulation contraceptive uptake and continuation in Bangladesh: study protocol for a randomised controlled trial. BMC public health, 17 (1). 769-. ISSN 1471-2458 DOI: https://doi.org/10.1186/s12889-017-4703-z

Reiss, Kate; Andersen, Kathryn; Pearson, Erin; Biswas, Kamal; Taleb, Fahmida; Ngo, Thoai D; Hossain, Altaf; Barnard, Sharmani; Smith, Chris; Carpenter, James; +10 more... Menzel, Jamie; Footman, Katharine; Keenan, Katherine; Douthwaite, Megan; Reena, Yasmin; Mahmood, Hassan Rushekh; Tabbassum, Tanzila; Colombini, Manuela; Bacchus, Loraine; Church, Kathryn; (2019) Unintended Consequences of mHealth Interactive Voice Messages Promoting Contraceptive Use After Menstrual Regulation in Bangladesh: Intimate Partner Violence Results From a Randomized Controlled Trial. Global health, science and practice, 7 (3). pp. 386-403. ISSN 2169-575X DOI: https://doi.org/10.9745/GHSP-D-19-00015

Rücker, Gerta; Schwarzer, Guido; Carpenter, James R; Schumacher, Martin; (2008) Undue reliance on I(2) in assessing heterogeneity may mislead. BMC medical research methodology, 8 (1). 79-. ISSN 1471-2288 DOI: https://doi.org/10.1186/1471-2288-8-79

Schroter, Sara; Black, Nick; Evans, Stephen; Carpenter, James; Godlee, Fiona; Smith, Richard; (2004) Effects of training on quality of peer review: randomised controlled trial. BMJ (Clinical research ed), 328 (7441). 673-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.38023.700775.AE

Shah, Anoop D; Bartlett, Jonathan W; Carpenter, James; Nicholas, Owen; Hemingway, Harry; (2014) Comparison of random forest and parametric imputation models for imputing missing data using MICE: a CALIBER study. American journal of epidemiology, 179 (6). pp. 764-774. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kwt312

Smuk, M; (2015) Missing Data Methodology: Sensitivity analysis after multiple imputation. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.02212896

Smuk, M; Carpenter, JR; Morris, TP; (2017) What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry. BMC medical research methodology, 17 (1). 21-. ISSN 1471-2288 DOI: https://doi.org/10.1186/s12874-017-0301-0

Smuk, M; Carpenter, JR; Morris, TP; (2017) Erratum to: What impact do assumptions about missing data have on conclusions? a practical sensitivity analysis for a cancer survival registry. BMC MEDICAL RESEARCH METHODOLOGY, 17 (1). 51-. ISSN 1471-2288 DOI: https://doi.org/10.1186/s12874-017-0323-7

Sterne, Jonathan AC; Sutton, Alex J; Ioannidis, John PA; Terrin, Norma; Jones, David R; Lau, Joseph; Carpenter, James; Rücker, Gerta; Harbord, Roger M; Schmid, Christopher H; +9 more... Tetzlaff, Jennifer; Deeks, Jonathan J; Peters, Jaime; Macaskill, Petra; Schwarzer, Guido; Duval, Sue; Altman, Douglas G; Moher, David; Higgins, Julian PT; (2011) Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ (Clinical research ed), 343 (jul22). d4002-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.d4002

Sterne, Jonathan AC; White, Ian R; Carlin, John B; Spratt, Michael; Royston, Patrick; Kenward, Michael G; Wood, Angela M; Carpenter, James R; (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ, 338 (jun29 ). b2393-. ISSN 1468-5833 DOI: https://doi.org/10.1136/bmj.b2393

Sterne, Jonathan Ac; Hernán, Miguel A; Reeves, Barnaby C; Savović, Jelena; Berkman, Nancy D; Viswanathan, Meera; Henry, David; Altman, Douglas G; Ansari, Mohammed T; Boutron, Isabelle; +25 more... Carpenter, James R; Chan, An-Wen; Churchill, Rachel; Deeks, Jonathan J; Hróbjartsson, Asbjørn; Kirkham, Jamie; Jüni, Peter; Loke, Yoon K; Pigott, Theresa D; Ramsay, Craig R; Regidor, Deborah; Rothstein, Hannah R; Sandhu, Lakhbir; Santaguida, Pasqualina L; Schünemann, Holger J; Shea, Beverly; Shrier, Ian; Tugwell, Peter; Turner, Lucy; Valentine, Jeffrey C; Waddington, Hugh; Waters, Elizabeth; Wells, George A; Whiting, Penny F; Higgins, Julian Pt; (2016) ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ (Clinical research ed), 355. i4919-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.i4919

Stirrup, Oliver T; Babiker, Abdel G; Carpenter, James R; Copas, Andrew J; (2015) Fractional Brownian motion and multivariate-t models for longitudinal biomedical data, with application to CD4 counts in HIV-positive patients. Statistics in medicine, 35 (9). pp. 1514-1532. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6788

Ségalas, Corentin; Leyrat, Clémence; Carpenter, James R; Williamson, Elizabeth; (2023) Propensity score matching after multiple imputation when a confounder has missing data. Statistics in medicine, 42 (7). pp. 1082-1095. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.9658

Tackney, Mia S; Cook, Derek G; Stahl, Daniel; Ismail, Khalida; Williamson, Elizabeth; Carpenter, James; (2021) A framework for handling missing accelerometer outcome data in trials. Trials, 22 (1). 379-. ISSN 1745-6215 DOI: https://doi.org/10.1186/s13063-021-05284-8

Tackney, Mia S; Stahl, Daniel; Williamson, Elizabeth; Carpenter, James; (2022) Missing Step Count Data? Step Away From the Expectation–Maximization Algorithm. Journal for the Measurement of Physical Behaviour, 5 (4). pp. 205-214. ISSN 2575-6605 DOI: https://doi.org/10.1123/jmpb.2022-0002

Tilling, Kate; Williamson, Elizabeth J; Spratt, Michael; Sterne, Jonathan AC; Carpenter, James R; (2016) Appropriate inclusion of interactions was needed to avoid bias in multiple imputation. Journal of clinical epidemiology, 80. pp. 107-115. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2016.07.004

Tsochatzis, Emmanuel A; Feudjo, Maurille; Rigamonti, Cristina; Vlachogiannakos, Jiannis; Carpenter, James R; Burroughs, Andrew K; (2013) Ursodeoxycholic acid improves bilirubin but not albumin in primary biliary cirrhosis: further evidence for nonefficacy. BioMed research international, 2013. 139763-. ISSN 2314-6133 DOI: https://doi.org/10.1155/2013/139763

Vamvakas, George; (2016) Pattern-mixture sensitivity analysis in longitudinal trials with drop-out. MPhil thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.02026586

Vergnaud, Anne-Claire; Aresu, Maria; Kongsgård, Håvard Wahl; McRobie, Dennis; Singh, Deepa; Spear, Jeanette; Heard, Andy; Gao, He; Carpenter, James R; Elliott, Paul; (2018) Estimation of TETRA radio use in the Airwave Health Monitoring Study of the British police forces. Environmental research, 167. pp. 169-174. ISSN 0013-9351 DOI: https://doi.org/10.1016/j.envres.2018.07.015

Verzilli, CJ; (2003) Method for the analysis of incomplete longitudinal data. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04646517

Welch, Catherine A; Petersen, Irene; Bartlett, Jonathan W; White, Ian R; Marston, Louise; Morris, Richard W; Nazareth, Irwin; Walters, Kate; Carpenter, James; (2014) Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data. Statistics in medicine, 33 (21). pp. 3725-3737. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6184

White, Ian R; Carpenter, James; Horton, Nicholas J; (2018) A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials. Statistica Sinica, 28 (4). pp. 1985-2003. ISSN 1017-0405 DOI: https://doi.org/10.5705/ss.202016.0308

White, Ian R; Horton, Nicholas J; Carpenter, James; Pocock, Stuart J; (2011) Strategy for intention to treat analysis in randomised trials with missing outcome data. BMJ, 342 (feb07 ). d40-. ISSN 1468-5833 DOI: https://doi.org/10.1136/bmj.d40

Williamson, E; Denaxas, S; Morris, S; Clarke, CS; Thomas, M; Evans, H; Direk, K; Gonzalez-Izquierdo, A; Little, P; Lund, V; +6 more... Blackshaw, H; Schilder, A; Philpott, C; Hopkins, C; Carpenter, J; Programme Team, On Behalf Of The Macro; (2019) Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records. Rhinology, 57 (4). pp. 252-260. ISSN 0300-0729 DOI: https://doi.org/10.4193/Rhin18.237

Williamson, Elizabeth; (2007) Inference from estimators of exposure effects obtained by stratification on the propensity score. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.00682356

Wing, Kevin; Williamson, Elizabeth; Carpenter, James R; Wise, Lesley; Schneeweiss, Sebastian; Smeeth, Liam; Quint, Jennifer K; Douglas, Ian; (2021) Medications for chronic obstructive pulmonary disease: a historical non-interventional cohort study with validation against RCT results. Health technology assessment (Winchester, England), 25 (51). pp. 1-70. ISSN 1366-5278 DOI: https://doi.org/10.3310/hta25510

Wing, Kevin; Williamson, Elizabeth; Carpenter, James R; Wise, Lesley; Schneeweiss, Sebastian; Smeeth, Liam; Quint, Jennifer K; Douglas, Ian; (2018) Real-world effects of medications for chronic obstructive pulmonary disease: protocol for a UK population-based non-interventional cohort study with validation against randomised trial results. BMJ open, 8 (3). e019475-. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2017-019475

Wing, Kevin; Williamson, Elizabeth; Carpenter, James R; Wise, Lesley; Schneeweiss, Sebastian; Smeeth, Liam; Quint, Jennifer K; Douglas, Ian; (2020) Real world effects of COPD medications: a cohort study with validation against results from randomised controlled trials. The European respiratory journal, 57 (3). p. 2001586. ISSN 0903-1936 DOI: https://doi.org/10.1183/13993003.01586-2020

Wing, Kevin; Williamson, Elizabeth; Carpenter, James R; Wise, Lesley; Schneeweiss, Sebastian; Smeeth, Liam; Quint, Jennifer K; Douglas, Ian; (2018) Real-world effects of medications for chronic obstructive pulmonary disease: protocol for a UK population-based non-interventional cohort study with validation against randomised trial results. BMJ OPEN, 8 (3). ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2017-019475

Hopkins, C; Williamson, E; Morris, S; Clarke, CS; Thomas, M; Evans, H; Little, P; Lund, VJ; Blackshaw, H; Schilder, A; +4 more... Philpott, C; Carpenter, J; Denaxas, S; MACRO programme team; (2019) Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records. Rhinology journal, 57 (6). pp. 420-429. ISSN 0300-0729 DOI: https://doi.org/10.4193/Rhin19.136 Item availability may be restricted.