Items where Research Centre is "Centre for Statistical Methodology"
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Number of items: 21.
Article
Agbla, Schadrac C;
DiazOrdaz, Karla;
(2018)
Reporting non-adherence in cluster randomised trials: A systematic review.
Clinical trials (London, England), 15 (3).
pp. 294-304.
ISSN 1740-7745
DOI: https://doi.org/10.1177/1740774518761666
Brakenhoff, Timo B;
Mitroiu, Marian;
Keogh, Ruth H;
Moons, Karel GM;
Groenwold, Rolf HH;
van Smeden, Maarten;
(2018)
Measurement error is often neglected in medical literature: a systematic review.
Journal of clinical epidemiology, 98.
pp. 89-97.
ISSN 0895-4356
DOI: https://doi.org/10.1016/j.jclinepi.2018.02.023
Buteau, Stephane;
Goldberg, Mark S;
Burnett, Richard T;
Gasparrini, Antonio;
Valois, Marie-France;
Brophy, James M;
Crouse, Dan L;
Hatzopoulou, Marianne;
(2018)
Associations between ambient air pollution and daily mortality in a cohort of congestive heart failure: Case-crossover and nested case-control analyses using a distributed lag nonlinear model.
Environment international, 113.
pp. 313-324.
ISSN 0160-4120
DOI: https://doi.org/10.1016/j.envint.2018.01.003
Cox, DR;
Kartsonaki, Christiana;
Keogh, Ruth H;
(2018)
Big data: Some statistical issues.
Statistics & probability letters, 136.
pp. 111-115.
ISSN 0167-7152
DOI: https://doi.org/10.1016/j.spl.2018.02.015
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
Hemming, Karla;
Taljaard, Monica;
McKenzie, Joanne E;
Hooper, Richard;
Copas, Andrew;
Thompson, Jennifer A;
Dixon-Woods, Mary;
Aldcroft, Adrian;
Doussau, Adelaide;
Grayling, Michael;
+10 more...
Kristunas, Caroline;
Goldstein, Cory E;
Campbell, Marion K;
Girling, Alan;
Eldridge, Sandra;
Campbell, Mike J;
Lilford, Richard J;
Weijer, Charles;
Forbes, Andrew B;
Grimshaw, Jeremy M;
(2018)
Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration.
BMJ (Clinical research ed), 363.
k1614-.
ISSN 0959-8138
DOI: https://doi.org/10.1136/bmj.k1614
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
Kessy, Agnan;
Lewin, Alex;
Strimmer, Korbinian;
(2018)
Optimal Whitening and Decorrelation.
The American statistician, 72 (4).
pp. 309-314.
ISSN 0003-1305
DOI: https://doi.org/10.1080/00031305.2016.1277159
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;
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
Luque-Fernandez, Miguel Angel;
Schomaker, Michael;
Rachet, Bernard;
Schnitzer, Mireille E;
(2018)
Targeted maximum likelihood estimation for a binary treatment: A tutorial.
Statistics in medicine, 37 (16).
pp. 2530-2546.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.7628
Maringe, Camille;
Pohar Perme, Maja;
Stare, Janez;
Rachet, Bernard;
(2018)
Explained variation of excess hazard models.
Statistics in medicine, 37 (14).
pp. 2284-2300.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.7645
Martinussen, Torben;
Vansteelandt, Stijn;
(2018)
Instrumental variables estimation with competing risk data.
Biostatistics (Oxford, England), 21 (1).
pp. 158-171.
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxy039
Full text not available from this repository.
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
Newsome, Simon J;
Keogh, Ruth H;
Daniel, Rhian M;
(2018)
Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertainty.
Statistics in medicine, 37 (15).
pp. 2367-2390.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.7664
Paige, Ellie;
Barrett, Jessica;
Stevens, David;
Keogh, Ruth H;
Sweeting, Michael J;
Nazareth, Irwin;
Petersen, Irene;
Wood, Angela M;
(2018)
Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk.
American journal of epidemiology, 187 (7).
pp. 1530-1538.
ISSN 0002-9262
DOI: https://doi.org/10.1093/aje/kwy018
Sharples, Linda D;
(2018)
The role of statistics in the era of big data: Electronic health records for healthcare research.
Statistics & probability letters, 136.
pp. 105-110.
ISSN 0167-7152
DOI: https://doi.org/10.1016/j.spl.2018.02.044
Thompson, JA;
Davey, C;
Fielding, K;
Hargreaves, JR;
Hayes, RJ;
(2018)
Robust analysis of stepped wedge trials using cluster-level summaries within periods.
Statistics in medicine, 37 (16).
pp. 2487-2500.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.7668
Vansteelandt, Stijn;
Walter, Stefan;
Tchetgen Tchetgen, Eric;
(2018)
Eliminating Survivor Bias in Two-stage Instrumental Variable Estimators.
Epidemiology (Cambridge, Mass), 29 (4).
pp. 536-541.
ISSN 1044-3983
DOI: https://doi.org/10.1097/EDE.0000000000000835
Full text not available from this repository.
Widschwendter, Martin;
Jones, Allison;
Evans, Iona;
Reisel, Daniel;
Dillner, Joakim;
Sundström, Karin;
Steyerberg, Ewout W;
Vergouwe, Yvonne;
Wegwarth, Odette;
Rebitschek, Felix G;
+16 more...
Siebert, Uwe;
Sroczynski, Gaby;
de Beaufort, Inez D;
Bolt, Ineke;
Cibula, David;
Zikan, Michal;
Bjørge, Line;
Colombo, Nicoletta;
Harbeck, Nadia;
Dudbridge, Frank;
Tasse, Anne-Marie;
Knoppers, Bartha M;
Joly, Yann;
Teschendorff, Andrew E;
Pashayan, Nora;
FORECEE (4C) Consortium;
(2018)
Epigenome-based cancer risk prediction: rationale, opportunities and challenges.
Nature reviews Clinical oncology, 15 (5).
pp. 292-309.
ISSN 1759-4774
DOI: https://doi.org/10.1038/nrclinonc.2018.30
Wong, Joshua LC;
Mason, Alexina J;
Gordon, Anthony C;
Brett, Stephen J;
(2018)
Are large randomised controlled trials in severe sepsis and septic shock statistically disadvantaged by repeated inadvertent underestimates of required sample size?
BMJ open, 8 (8).
e020068-.
ISSN 2044-6055
DOI: https://doi.org/10.1136/bmjopen-2017-020068