Items where Author is "Carpenter, J"
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Number of items: 172.
2019
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).
DOI: https://doi.org/10.1186/s13063-019-3318-3
Petersen, Irene;
Welch, Catherine A;
Nazareth, Irwin;
Walters, Kate;
Marston, Louise;
Morris, Richard W;
Carpenter, James R;
Morris, Tim P;
Tra, My Pham;
(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
2018
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).
ISSN 0964-1998
DOI: https://doi.org/10.1111/rssa.12423
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.
ISSN 1759-2879
DOI: https://doi.org/10.1002/jrsm.1300
Goldstein, H;
Carpenter, J;
Kenward, M;
(2018)
Bayesian models for weighted data with missing values: a bootstrap approach.
Applied statistics.
ISSN 0035-9254
DOI: https://doi.org/10.1111/rssc.12259
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
Leurent, B;
Gomes, M;
Carpenter, J;
(2018)
Comment on: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.
PharmacoEconomics.
ISSN 1170-7690
DOI: https://doi.org/10.1007/s40273-018-0700-z
Item availability may be restricted.
Leurent, B;
Gomes, M;
Carpenter, JR;
(2018)
Missing data in trial-based cost-effectiveness analysis: An incomplete journey.
Health economics.
ISSN 1057-9230
DOI: https://doi.org/10.1002/hec.3654
Leurent, B;
Gomes, M;
Faria, R;
Morris, S;
Grieve, R;
Carpenter, JR;
(2018)
Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.
PharmacoEconomics.
ISSN 1170-7690
DOI: https://doi.org/10.1007/s40273-018-0650-5
Mason, AJ;
Gomes, M;
Grieve, R;
Carpenter, JR;
(2018)
A Bayesian framework for health economic evaluation in studies with missing data.
Health economics.
ISSN 1057-9230
DOI: https://doi.org/10.1002/hec.3793
Morris, TP;
Fisher, DJ;
Kenward, MG;
Carpenter, JR;
(2018)
Meta-analysis of Gaussian individual patient data: two-stage or not two-stage?
Statistics in medicine.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.7589
Pham, TM;
Carpenter, JR;
Morris, TP;
Wood, AM;
Petersen, I;
(2018)
Population-calibrated multiple imputation for a binary/categorical covariate in categorical regression models.
Statistics in medicine.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.8004
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]
http://researchonline.lshtm.ac.uk/id/eprint/4648780
Quartagno, M;
Walker, AS;
Carpenter, JR;
Phillips, PP;
Parmar, MK;
(2018)
Rethinking non-inferiority: a practical trial design for optimising treatment duration.
Clinical trials (London, England).
p. 1740774518778027.
ISSN 1740-7745
DOI: https://doi.org/10.1177/1740774518778027
Vergnaud, A.-, C;
Aresu, M;
Kongsgård, HW;
McRobie, D;
Singh, D;
Spear, J;
Heard, A;
Gao, H;
Carpenter, JR;
Elliott, P;
(2018)
Estimation of TETRA radio use in the Airwave Health Monitoring Study of the British police forces.
Environmental research.
ISSN 0013-9351
DOI: https://doi.org/10.1016/j.envres.2018.07.015
Item availability may be restricted.
White, IR;
Carpenter, J;
Horton, NJ;
(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
Wing, K;
Williamson, E;
Carpenter, JR;
Wise, L;
Schneeweiss, S;
Smeeth, L;
Quint, JK;
Douglas, I;
(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;
(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/bmjopen2017-019475
2017
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.
p. 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
Falcaro, M;
Carpenter, JR;
(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, DJ;
Carpenter, JR;
Morris, TP;
Freeman, SC;
Tierney, JF;
(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
Freeman, SC;
Carpenter, JR;
(2017)
Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models.
Research synthesis methods.
ISSN 1759-2879
DOI: https://doi.org/10.1002/jrsm.1253
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
Mason, AJ;
Gomes, M;
Grieve, R;
Carpenter, J;
(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.
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, AJ;
Gomes, M;
Grieve, R;
Ulug, P;
Powell, JT;
Carpenter, J;
(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).
p. 1740774517711442.
ISSN 1740-7745
DOI: https://doi.org/10.1177/1740774517711442
Reiss, K;
Andersen, K;
Barnard, S;
Ngo, TD;
Biswas, K;
Smith, C;
Carpenter, J;
Church, K;
Nuremowla, S;
Pearson, E;
(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).
p. 769.
ISSN 1471-2458
DOI: https://doi.org/10.1186/s12889-017-4703-z
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).
p. 21.
ISSN 1471-2288
DOI: https://doi.org/10.1186/s12874-017-0301-0
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).
ISSN 1471-2288
DOI: https://doi.org/10.1186/s12874-017-0323-7
2016
Bartlett, JW;
Harel, O;
Carpenter, JR;
(2016)
THE AUTHORS REPLY.
American journal of epidemiology, 184 (2).
p. 161.
ISSN 0002-9262
DOI: https://doi.org/10.1093/aje/kww067
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
http://researchonline.lshtm.ac.uk/id/eprint/2869423
Full text not available from this repository.
Cro, S;
Morris, TP;
Kenward, MG;
Carpenter, JR;
(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
https://www.stata-journal.com/article.html?article...
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]
http://researchonline.lshtm.ac.uk/id/eprint/3515668
Full text not available from this repository.
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
Rehal, S;
Morris, TP;
Fielding, K;
Carpenter, JR;
Phillips, PP;
(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
Sterne, JA;
Hernán, MA;
Reeves, BC;
Savović, J;
Berkman, ND;
Viswanathan, M;
Henry, D;
Altman, DG;
Ansari, MT;
Boutron, I;
+25 more...
Carpenter, JR;
Chan, AW;
Churchill, R;
Deeks, JJ;
Hróbjartsson, A;
Kirkham, J;
Jüni, P;
Loke, YK;
Pigott, TD;
Ramsay, CR;
Regidor, D;
Rothstein, HR;
Sandhu, L;
Santaguida, PL;
Schünemann, HJ;
Shea, B;
Shrier, I;
Tugwell, P;
Turner, L;
Valentine, JC;
Waddington, H;
Waters, E;
Wells, GA;
Whiting, PF;
Higgins, JP;
(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
Tilling, K;
Williamson, EJ;
Spratt, M;
Sterne, JA;
Carpenter, JR;
(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
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
2015
Bartlett, JW;
Carpenter, JR;
Tilling, K;
Vansteelandt, S;
(2015)
Corrigendum: Improving upon the efficiency of complete case analysis when covariates are MNAR (10.1093/biostatistics/kxu023).
Biostatistics (Oxford, England), 16 (1).
p. 205.
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxu051
Bartlett, JW;
Harel, O;
Carpenter, JR;
(2015)
Asymptotically unbiased estimation of exposure odds ratios in complete records logistic regression.
American journal of epidemiology, 182 (8).
pp. 730-6.
ISSN 0002-9262
DOI: https://doi.org/10.1093/aje/kwv114
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
http://researchonline.lshtm.ac.uk/id/eprint/2869428
Full text not available from this repository.
Falcaro, M;
Nur, U;
Rachet, B;
Carpenter, JR;
(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.
Gilham, C;
Rake, C;
Burdett, G;
Nicholson, AG;
Davison, L;
Franchini, A;
Carpenter, J;
Hodgson, J;
Darnton, A;
Peto, J;
(2015)
Pleural mesothelioma and lung cancer risks in relation to occupational history and asbestos lung burden.
Occupational and environmental medicine, 73 (5).
pp. 290-9.
ISSN 1351-0711
DOI: https://doi.org/10.1136/oemed-2015-103074
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
http://researchonline.lshtm.ac.uk/id/eprint/2869420
Full text not available from this repository.
Morris, TP;
White, IR;
Carpenter, JR;
Stanworth, SJ;
Royston, P;
(2015)
Combining fractional polynomial model building with multiple imputation.
Statistics in medicine, 34 (25).
pp. 3298-317.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6553
Full text not available from this repository.
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. 2938-54.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6837
Schwarzer, G;
Carpenter, JR;
Rucker, G;
(2015)
Meta-analysis with R.
Springer International Publishing, New York.
ISBN 9783319214153
http://researchonline.lshtm.ac.uk/id/eprint/2319347
Full text not available from this repository.
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
Stirrup, OT;
Babiker, AG;
Carpenter, JR;
Copas, AJ;
(2015)
Fractional Brownian motion and multivariate-t models for longitudinal biomedical data, with application to CD4 counts in HIV-patients.
Statistics in medicine, 35 (9).
pp. 1514-32.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6788
Full text not available from this repository.
2014
Bartlett, JW;
Carpenter, JR;
Tilling, K;
Vansteelandt, S;
(2014)
Improving upon the efficiency of complete case analysis when covariates are MNAR.
Biostatistics (Oxford, England), 15 (4).
pp. 719-30.
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxu023
Bartlett, JW;
Seaman, SR;
White, IR;
Carpenter, JR;
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. 462-87.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280214521348
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.
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. 1363-9.
ISSN 1054-3406
DOI: https://doi.org/10.1080/10543406.2014.960085
Full text not available from this repository.
Ewings, FM;
Ford, D;
Walker, AS;
Carpenter, J;
Copas, A;
(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
Goldstein, H;
Carpenter, JR;
Browne, WJ;
(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.
Hughes, RA;
White, IR;
Seaman, SR;
Carpenter, JR;
Tilling, K;
Sterne, JA;
(2014)
Joint modelling rationale for chained equations.
BMC medical research methodology, 14.
p. 28.
ISSN 1471-2288
DOI: https://doi.org/10.1186/1471-2288-14-28
Jackson, D;
White, IR;
Seaman, S;
Evans, H;
Baisley, K;
Carpenter, J;
(2014)
Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation.
Statistics in medicine, 33 (27).
pp. 4681-94.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6274
Marston, L;
Carpenter, JR;
Walters, KR;
Morris, RW;
Nazareth, I;
White, IR;
Petersen, I;
(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
Parmar, MK;
Carpenter, J;
Sydes, MR;
(2014)
More multiarm randomised trials of superiority are needed.
Lancet, 384 (9940).
pp. 283-4.
ISSN 0140-6736
DOI: https://doi.org/10.1016/S0140-6736(14)61122-3
Full text not available from this repository.
Sauerbrei, W;
Abrahamowicz, M;
Altman, DG;
le Cessie, S;
Carpenter, J;
STRATOS initiative;
, COLLABORATORS;
Abrahamowicz, M;
Andersen, PK;
Altman, D;
+42 more...
Becher, H;
Binder, H;
Blettner, M;
Bodicoat, D;
Bossuyt, P;
Carpenter, J;
Carroll, R;
Chadha-Boreham, H;
Collins, G;
De Stavola, B;
Duchateau, L;
Evans, S;
Freedman, L;
Gail, M;
Goetghebeur, E;
Gustafson, P;
Harrell, F;
Huebner, M;
Jenkner, C;
Kipnis, V;
Kuechenhoff, H;
le Cessie, S;
Lee, K;
Macaskill, P;
Moodie, E;
Pearce, N;
Quantin, C;
Rahnenfuehrer, J;
Royston, P;
Sauerbrei, W;
Schumacher, M;
Sekula, P;
Stefanski, L;
Steyerberg, E;
Therneau, T;
Tilling, K;
Vach, W;
Vickers, A;
Wacholder, S;
Waernbaum, I;
White, I;
Woodward, M;
(2014)
STRengthening Analytical Thinking for Observational Studies: the STRATOS initiative.
Statistics in medicine, 33 (30).
pp. 5413-32.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6265
Shah, AD;
Bartlett, JW;
Carpenter, J;
Nicholas, O;
Hemingway, H;
(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. 764-74.
ISSN 0002-9262
DOI: https://doi.org/10.1093/aje/kwt312
Welch, CA;
Petersen, I;
Bartlett, JW;
White, IR;
Marston, L;
Morris, RW;
Nazareth, I;
Walters, K;
Carpenter, J;
(2014)
Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data.
Statistics in medicine, 33 (21).
pp. 3725-37.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6184
Full text not available from this repository.
2013
Carpenter, J;
, R;
Kenward, M;
, G;
(2013)
Multiple imputation and its application.
Wiley, Chichester, p. 364.
ISBN 978-0-470-74052-1
http://researchonline.lshtm.ac.uk/id/eprint/1260511
Carpenter, JR;
(2013)
Book review.
Journal of biopharmaceutical statistics, 23 (6).
pp. 1453-5.
ISSN 1054-3406
DOI: https://doi.org/10.1080/10543406.2013.834795
Full text not available from this repository.
Carpenter, JR;
Roger, JH;
Kenward, MG;
(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. 1352-71.
ISSN 1054-3406
DOI: https://doi.org/10.1080/10543406.2013.834911
Full text not available from this repository.
Carpenter, R;
McGarvey, C;
Mitchell, EA;
Tappin, DM;
Vennemann, MM;
Smuk, M;
Carpenter, JR;
(2013)
Bed sharing when parents do notsmoke: is there a risk of SIDS? Anindividual level analysis of five majorcase–control studies.
BMJ Open, 3.
e002299.
ISSN 2044-6055
DOI: https://doi.org/10.1136/bmjopen-2012-002299
Carpenter, R;
McGarvey, C;
Mitchell, EA;
Tappin, DM;
Vennemann, MM;
Smuk, M;
Carpenter, JR;
(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).
ISSN 2044-6055
DOI: https://doi.org/10.1136/bmjopen-2012-002299
Louzada, F;
Marchi, V;
Carpenter, J;
(2013)
The Complementary Exponentiated Exponential Geometric Lifetime Distribution.
Journal of Probability and Statistics, 2013.
p. 12.
DOI: https://doi.org/10.1155/2013/502159
Ng, ES;
Diaz-Ordaz, K;
Grieve, R;
Nixon, RM;
Thompson, SG;
Carpenter, JR;
(2013)
Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice.
Statistical methods in medical research.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280213511719
Full text not available from this repository.
Ng, ESW;
Grieve, R;
Carpenter, JR;
(2013)
Two-stage nonparametric bootstrap sampling with shrinkage correction for clustered data.
The Stata journal, 13 (1).
pp. 141-164.
ISSN 1536-867X
http://www.stata-journal.com/article.html/?article...
Full text not available from this repository.
Tsochatzis, EA;
Feudjo, M;
Rigamonti, C;
Vlachogiannakos, J;
Carpenter, JR;
Burroughs, AK;
(2013)
Ursodeoxycholic Acid Improves Bilirubin but Not Albumin in Primary Biliary Cirrhosis: Further Evidence for Nonefficacy.
BioMed research international, 2013.
p. 139763.
ISSN 2314-6133
DOI: https://doi.org/10.1155/2013/139763
2012
Carpenter, J;
(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).
p. 221.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280210394485
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.
Gomes, M;
Grieve, R;
Nixon, R;
Ng, ES;
Carpenter, J;
Thompson, SG;
(2012)
METHODS FOR COVARIATE ADJUSTMENT IN COST-EFFECTIVENESS ANALYSIS THAT USE CLUSTER RANDOMISED TRIALS.
Health economics, 21 (9).
pp. 1101-18.
ISSN 1057-9230
DOI: https://doi.org/10.1002/hec.2812
Full text not available from this repository.
Gomes, M;
Ng, ES;
Grieve, R;
Nixon, R;
Carpenter, J;
Thompson, SG;
(2012)
Developing Appropriate Methods for Cost-Effectiveness Analysis of Cluster Randomized Trials.
Medical decision making, 32 (2).
pp. 350-61.
ISSN 0272-989X
DOI: https://doi.org/10.1177/0272989X11418372
Groenwold, RH;
White, IR;
Donders, AR;
Carpenter, JR;
Altman, DG;
Moons, KG;
(2012)
Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.
CMAJ, 184 (11).
pp. 1265-9.
ISSN 0820-3946
DOI: https://doi.org/10.1503/cmaj.110977
Full text not available from this repository.
Héraud-Bousquet, V;
Larsen, C;
Carpenter, J;
Desenclos, JC;
Le Strat, Y;
(2012)
Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data.
BMC medical research methodology, 12.
p. 73.
ISSN 1471-2288
DOI: https://doi.org/10.1186/1471-2288-12-73
Jackson, D;
White, IR;
Carpenter, J;
(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
Reeves, B;
Harding, S;
Langham, J;
Grieve, R;
Tomlin, K;
Walker, J;
Guerriero, C;
Carpenter, J;
Patton, W;
Muldrew, K;
+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).
pp. 1-200.
ISSN 1366-5278
DOI: https://doi.org/10.3310/hta16060
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, IR;
Carpenter, J;
Horton, NJ;
(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.
Williamson, EJ;
Morley, R;
Lucas, A;
Carpenter, JR;
(2012)
Variance estimation for stratified propensity score estimators.
Statistics in medicine, 31 (15).
pp. 1617-32.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.4504
Full text not available from this repository.
2011
Alldred, DP;
Standage, C;
Fletcher, O;
Savage, I;
Carpenter, J;
Barber, N;
Raynor, DK;
(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
Bartlett, JW;
Frost, C;
Carpenter, JR;
(2011)
Multiple imputation models should incorporate the outcome in the model of interest.
Brain.
ISSN 0006-8950
DOI: https://doi.org/10.1093/brain/awr061
Full text not available from this repository.
Carpenter, J;
Petersen, I;
Welch, C;
Bartlett, J;
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]
http://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.
http://researchonline.lshtm.ac.uk/id/eprint/179961
Full text not available from this repository.
Carpenter, J;
Rücker, G;
Schwarzer, G;
(2011)
Assessing the Sensitivity of Meta-analysis to Selection Bias: A Multiple Imputation Approach.
Biometrics, 67 (3).
pp. 1066-72.
ISSN 0006-341X
DOI: https://doi.org/10.1111/j.1541-0420.2010.01498.x
Full text not available from this repository.
Carpenter, JR;
Goldstein, H;
Kenward, MG;
(2011)
REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types.
Journal of statistical software, 45 (5).
pp. 1-14.
ISSN 1548-7660
http://researchonline.lshtm.ac.uk/id/eprint/30704
Gibbons, C;
Bruce, J;
Carpenter, J;
Wilson, A;
Wilson, J;
Pearson, A;
Lamping, D;
Krukowski, Zh;
Reeves, B;
(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).
pp. 1-156.
ISSN 1366-5278
DOI: https://doi.org/10.3310/hta15300
Lodi, S;
Carpenter, J;
Egger, P;
Evans, S;
(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.
p. 36.
ISSN 1471-2288
DOI: https://doi.org/10.1186/1471-2288-11-36
Ntoburi, S;
Hutchings, A;
Sanderson, C;
Carpenter, J;
Weber, M;
English, M;
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.
p. 90.
ISSN 1471-2431
DOI: https://doi.org/10.1186/1471-2431-10-90
Opondo, C;
Ayieko, P;
Ntoburi, S;
Wagai, J;
Opiyo, N;
Irimu, G;
Allen, E;
Carpenter, J;
English, M;
(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.
p. 109.
ISSN 1471-2431
DOI: https://doi.org/10.1186/1471-2431-11-109
Petersen, I;
Carpenter, J;
Welch, C;
Walters, K;
Morris, R;
White, I;
Marston, L;
Nazareth, I;
(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
http://researchonline.lshtm.ac.uk/id/eprint/18717
Full text not available from this repository.
Rucker, G;
Carpenter, JR;
Schwarzer, G;
(2011)
Detecting and adjusting for small-study effects in meta-analysis.
Biom J, 53 (2).
pp. 351-368.
ISSN 0323-3847
DOI: https://doi.org/10.1002/bimj.201000151
Full text not available from this repository.
Rücker, G;
Carpenter, JR;
Schwarzer, G;
(2011)
Detecting and adjusting for small-study effects in meta-analysis.
Biometrical journal Biometrische Zeitschrift, 53 (2).
pp. 351-68.
ISSN 0323-3847
DOI: https://doi.org/10.1002/bimj.201000151
Full text not available from this repository.
Sterne, JA;
Sutton, AJ;
Ioannidis, JP;
Terrin, N;
Jones, DR;
Lau, J;
Carpenter, J;
Rücker, G;
Harbord, RM;
Schmid, CH;
+9 more...
Tetzlaff, J;
Deeks, JJ;
Peters, J;
Macaskill, P;
Schwarzer, G;
Duval, S;
Altman, DG;
Moher, D;
Higgins, JP;
(2011)
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials.
BMJ (Clinical research ed), 343.
d4002.
ISSN 0959-8138
DOI: https://doi.org/10.1136/bmj.d4002
White, IR;
Horton, NJ;
Carpenter, J;
Pocock, SJ;
(2011)
Strategy for intention to treat analysis in randomised trials with missing outcome data.
BMJ, 342.
d40.
ISSN 1468-5833
DOI: https://doi.org/10.1136/bmj.d40
Williamson, E;
Morley, R;
Lucas, A;
Carpenter, J;
(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.
2010
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;
(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.
Chan, CW;
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.
Horton, NJ;
White, IR;
Carpenter, J;
(2010)
The performance of multiple imputation for missing covariates relative to complete case analysis.
Statistics in medicine, 29 (12).
p. 1357.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.3872
Full text not available from this repository.
Kenward, MG;
White, IR;
Carpenter, JR;
(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).
1455-6; author reply 1457.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.3868
Full text not available from this repository.
Lodi, S;
Evans, SJ;
Egger, P;
Carpenter, J;
(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, L;
Carpenter, JR;
Walters, KR;
Morris, RW;
Nazareth, I;
Petersen, I;
(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.
Nur, U;
Shack, LG;
Rachet, B;
Carpenter, JR;
Coleman, MP;
(2010)
Modelling relative survival in the presence of incomplete data: a tutorial.
International journal of epidemiology, 39 (1).
pp. 118-28.
ISSN 0300-5771
DOI: https://doi.org/10.1093/ije/dyp309
Full text not available from this repository.
Rucker, G;
Schwarzer, G;
Carpenter, J;
Schumacher, M;
(2010)
Comments on 'Empirical vs natural weighting in random effects meta-analysis'.
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, G;
Schwarzer, G;
Carpenter, JR;
Binder, H;
Schumacher, M;
(2010)
Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis.
Biostatistics (Oxford, England).
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxq046
Full text not available from this repository.
Schwarzer, G;
Carpenter, J;
Rucker, G;
(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, M;
Carpenter, J;
Sterne, JAC;
Carlin, JB;
Heron, J;
Henderson, J;
Tilling, K;
(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, S;
Carpenter, J;
Kenward, MG;
(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.
2009
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. 341-6.
ISSN 1475-3898
DOI: https://doi.org/10.1136/qshc.2009.034231
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]
http://researchonline.lshtm.ac.uk/id/eprint/2460
Full text not available from this repository.
Carpenter, JR;
Rücker, G;
Schwarzer, G;
(2009)
copas: An R package for Fitting the Copas Selection Model.
The R Journal, 2.
pp. 31-6.
http://researchonline.lshtm.ac.uk/id/eprint/2461
Carpenter, JR;
Schwarzer, G;
Rücker, G;
Künstler, R;
(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.
Goldstein, H;
Carpenter, J;
Kenward, MG;
Levin, KA;
(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.
Grieve, R;
Guerriero, C;
Walker, J;
Tomlin, K;
Langham, J;
Harding, S;
Chakravathy, U;
Carpenter, J;
Reeves, BC;
Verteporfin Photodynamic Therapy Cohort Study Group;
(2009)
Verteporfin photodynamic therapy cohort study report 3: cost effectiveness and lessons for future evaluations.
Ophthalmology, 116 (12).
2471-2477.e2.
ISSN 0161-6420
DOI: https://doi.org/10.1016/j.ophtha.2009.10.023
Full text not available from this repository.
Harding, SP;
Tomlin, K;
Reeves, BC;
Langham, J;
Walker, J;
Carpenter, J;
Grieve, R;
Patton, WP;
Muldrew, KA;
Peto, T;
+2 more...
Chakravarthy, U;
Verteporfin Photodynamic Therapy Cohort Study Group;
(2009)
Verteporfin photodynamic therapy cohort study: report 1: effectiveness and factors influencing outcomes.
Ophthalmology, 116 (12).
e1-8.
ISSN 0161-6420
DOI: https://doi.org/10.1016/j.ophtha.2009.10.022
Full text not available from this repository.
Kenward, MG;
Carpenter, JR;
(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.
Morris, R;
Petersen, I;
Marston, L;
Walters, K;
Carpenter, J;
Nazareth, I;
(2009)
QRISK validation and evaluation. Bespoke cohort studies needed.
BMJ (Clinical research ed), 339.
b3512.
ISSN 0959-8138
DOI: https://doi.org/10.1136/bmj.b3512
Reeves, BC;
Langham, J;
Walker, J;
Grieve, R;
Chakravarthy, U;
Tomlin, K;
Carpenter, J;
Guerriero, C;
Harding, SP;
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. 2463-70.
ISSN 0161-6420
DOI: https://doi.org/10.1016/j.ophtha.2009.10.031
Full text not available from this repository.
Rucker, G;
Schwarzer, G;
Carpenter, J;
Olkin, I;
(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, G;
Schwarzer, G;
Carpenter, J;
Schumacher, M;
(2009)
Are large trials less reliable than small trials?
Journal of clinical epidemiology, 62 (8).
886-7; author reply 887-9.
ISSN 0895-4356
DOI: https://doi.org/10.1016/j.jclinepi.2009.03.007
Full text not available from this repository.
Sterne, JA;
White, IR;
Carlin, JB;
Spratt, M;
Royston, P;
Kenward, MG;
Wood, AM;
Carpenter, JR;
(2009)
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
BMJ, 338.
b2393.
ISSN 1468-5833
DOI: https://doi.org/10.1136/bmj.b2393
Vlachogiannakos, J;
Carpenter, J;
Goulis, J;
Triantos, C;
Patch, D;
Burroughs, AK;
(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. 701-7.
ISSN 0954-691X
DOI: https://doi.org/10.1097/MEG.0b013e328320005f
Full text not available from this repository.
White, IR;
Horton, N;
Carpenter, J;
(2009)
Complete-cases analysis is appropriate for randomised trials with pre-test-post-test designs.
Psychiatry research, 168 (3).
p. 268.
ISSN 0165-1781
DOI: https://doi.org/10.1016/j.psychres.2009.01.003
Full text not available from this repository.
2008
Carpenter, J;
Rücker, G;
Schwarzer, G;
(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).
3910-2; author reply 3912-4.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.3173
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.
http://researchonline.lshtm.ac.uk/id/eprint/9242
Full text not available from this repository.
Rücker, G;
Schwarzer, G;
Carpenter, JR;
Schumacher, M;
(2008)
Undue reliance on I(2) in assessing heterogeneity may mislead.
BMC medical research methodology, 8.
p. 79.
ISSN 1471-2288
DOI: https://doi.org/10.1186/1471-2288-8-79
2007
Carpenter, J;
Hutchings, A;
Raine, R;
Sanderson, C;
(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. 108-15.
ISSN 0266-4623
DOI: https://doi.org/10.1017/S0266462307051641
Carpenter, JR;
Kenward, MG;
(2007)
Missing data in randomised controlled trials: a practical guide.
Health Technology Assessment Methodology Programme, Birmingham, p. 199.
http://researchonline.lshtm.ac.uk/id/eprint/4018500
Carpenter, JR;
Kenward, MG;
White, IR;
(2007)
Sensitivity analysis after multiple imputation under missing at random: a weighting approach.
Statistical methods in medical research, 16 (3).
pp. 259-75.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280206075303
Full text not available from this repository.
Harrison, DA;
Parry, GJ;
Carpenter, JR;
Short, A;
Rowan, K;
(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, JW;
Carpenter, J;
van Houwelingen, HC;
Sousa, I;
Didelez, V;
Cox, DR;
Aalen, OO;
Commenges, D;
Lawless, RCJ;
Hand, DJ;
+13 more...
Lin, HQ;
Lunn, M;
Martinussen, T;
Molenberghs, G;
Verbeke, G;
Pipper, CB;
Scheike, TH;
Scheike, TH;
Pipper, CB;
Solis-Trapala, IL;
Taylor, JMG;
Zeng, D;
Lin, DY;
(2007)
Discussion on the paper by Diggle, Farewell and Henderson.
Applied statistics, 56.
pp. 530-550.
ISSN 0035-9254
http://researchonline.lshtm.ac.uk/id/eprint/8472
Full text not available from this repository.
Kenward, MG;
Carpenter, J;
(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.
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]
http://researchonline.lshtm.ac.uk/id/eprint/8471
Full text not available from this repository.
Nieminen, P;
Rucker, G;
Miettunen, J;
Carpenter, J;
Schumacher, M;
(2007)
Statistically significant papers in psychiatry were cited more often than others.
Journal of clinical epidemiology, 60 (9).
pp. 939-46.
ISSN 0895-4356
DOI: https://doi.org/10.1016/j.jclinepi.2006.11.014
Full text not available from this repository.
Optimising Analysis of Stroke Trials (OAST) Collaboration;
Bath, PM;
Gray, LJ;
Collier, T;
Pocock, S;
Carpenter, J;
(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. 1911-5.
ISSN 0039-2499
DOI: https://doi.org/10.1161/STROKEAHA.106.474080
Full text not available from this repository.
Rücker, G;
Schwarzer, G;
Carpenter, J;
(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.
White, IR;
Carpenter, J;
Evans, S;
Schroter, S;
(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.
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
2006
Carpenter, JR;
(2006)
Commentary: On Bayesian perspectives for epidemiological research.
International journal of epidemiology, 35 (3).
775-7; author 777-8.
ISSN 0300-5771
DOI: https://doi.org/10.1093/ije/dyl055
Full text not available from this repository.
Carpenter, JR;
Kenward, MG;
Vansteelandt, S;
(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.
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.
Guarino, P;
Elbourne, D;
Carpenter, J;
Peduzzi, P;
(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, P;
Lamping, DL;
Elbourne, D;
Carpenter, J;
Peduzzi, P;
(2006)
A brief measure of perceived understanding of informed consent in a clinical trial was validated.
Journal of clinical epidemiology, 59 (6).
pp. 608-14.
ISSN 0895-4356
DOI: https://doi.org/10.1016/j.jclinepi.2005.11.009
Full text not available from this repository.
Harrison, DA;
Brady, AR;
Parry, GJ;
Carpenter, JR;
Rowan, K;
(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. 1378-88.
ISSN 0090-3493
DOI: https://doi.org/10.1097/01.CCM.0000216702.94014.75
Full text not available from this repository.
Ng, ESW;
Carpenter, JR;
Goldstein, H;
Rasbash, J;
(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, P;
Carpenter, J;
Rucker, G;
Schumacher, M;
(2006)
The relationship between quality of research and citation frequency.
BMC medical research methodology, 6.
p. 42.
ISSN 1471-2288
http://researchonline.lshtm.ac.uk/id/eprint/9392
Wang, JC;
Carpenter, JR;
Kepler, MA;
(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.
2005
Carpenter, JR;
(2005)
The Jackknife.
In: Everitt, B; Palmer, C, (eds.)
Encyclopaedic Companion to Medical Statistics.
Hodder & Stoughton, London.
http://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.
http://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.
http://researchonline.lshtm.ac.uk/id/eprint/12432
Full text not available from this repository.
Chan, CW;
Carpenter, JR;
Rigamonti, C;
Gunsar, F;
Burroughs, AK;
(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. 1081-9.
ISSN 0036-5521
DOI: https://doi.org/10.1080/00365520510023215
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. 217-26.
ISSN 0269-2813
DOI: https://doi.org/10.1111/j.1365-2036.2005.02318.x
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.
p. 291.
ISSN 0964-1998
http://researchonline.lshtm.ac.uk/id/eprint/13803
Full text not available from this repository.
Wood, AM;
White, IR;
Hillsdon, M;
Carpenter, J;
(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.
2004
Carpenter, J;
Kenward, M;
Evans, S;
White, I;
(2004)
Last observation carry-forward and last observation analysis.
Statistics in medicine, 23 (20).
p. 3241.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.1891
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]
http://researchonline.lshtm.ac.uk/id/eprint/14702
Full text not available from this repository.
Harrison, DA;
Lertsithichai, P;
Brady, AR;
Carpenter, JR;
Rowan, K;
(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. 1900-7.
ISSN 0342-4642
DOI: https://doi.org/10.1007/s00134-004-2390-6
Full text not available from this repository.
Schroter, S;
Black, N;
Evans, S;
Carpenter, J;
Godlee, F;
Smith, R;
(2004)
Effects of training on quality of peer review: randomised controlled trial.
BMJ (Clinical research ed), 328 (7441).
pp. 673-677.
ISSN 0959-8138
DOI: https://doi.org/10.1136/bmj.38023.700775.AE
2003
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]
http://researchonline.lshtm.ac.uk/id/eprint/15945
Full text not available from this repository.
Carpenter, JR;
Goldstein, H;
Rasbash, J;
(2003)
A novel bootstrap procedure for assessing the relationship between class size and achievement.
Applied statistics, 52.
pp. 431-443.
ISSN 0035-9254
DOI: https://doi.org/10.1111/1467-9876.00415
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]
http://researchonline.lshtm.ac.uk/id/eprint/15206
Full text not available from this repository.
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
White, IR;
Carpenter, J;
Pocock, SJ;
Henderson, RA;
(2003)
Adjusting treatment comparisons to account for non-randomized interventions: an example from an angina trial.
Statistics in medicine, 22 (5).
pp. 781-93.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.1369
Full text not available from this repository.
White, IR;
Koupilova, I;
Carpenter, J;
(2003)
The use of regression models for medians when observed outcomes may be modified by interventions.
Statistics in medicine, 22 (7).
pp. 1083-96.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.1408
Full text not available from this repository.
2002
Carpenter, J;
(2002)
Models for Repeated Measurements (second edition).
Internatinal Journal of Epidemiology (31).
pp. 701-702.
http://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
http://researchonline.lshtm.ac.uk/id/eprint/18198
Full text not available from this repository.
Carpenter, J;
Pocock, S;
Lamm, CJ;
(2002)
Coping with missing data in clinical trials: a model-based approach applied to asthma trials.
Statistics in medicine, 21 (8).
pp. 1043-66.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.1065
Full text not available from this repository.
Verzilli, CJ;
Carpenter, JR;
(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, CJ;
Carpenter, JR;
(2002)
Assessing uncertainty about parameter estimates with incomplete repeated ordinal data.
Statistical Modelling, 2.
pp. 203-215.
ISSN 1477-0342
DOI: https://doi.org/10.1191/1471082x02st033oa
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
http://researchonline.lshtm.ac.uk/id/eprint/18199
Full text not available from this repository.