[HTML][HTML] Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
… James R Carpenter, reader in medical and social statistics5 … Carpenter JR, Kenward
MG. A critique of common approaches to missing data. In: Missing data in randomised …
MG. A critique of common approaches to missing data. In: Missing data in randomised …
[HTML][HTML] Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis
…, IR White, ART Donders, JR Carpenter… - Cmaj, 2012 - Can Med Assoc
… Carpenter declares that he or his institution have received funds from the Economic and
Social Research Council and the Medical Research Council ( MRC) for missing data research, …
Social Research Council and the Medical Research Council ( MRC) for missing data research, …
[HTML][HTML] Undue reliance on I 2 in assessing heterogeneity may mislead
G Rücker, G Schwarzer, JR Carpenter… - BMC medical research …, 2008 - Springer
Background The heterogeneity statistic I 2 , interpreted as the percentage of variability due
to heterogeneity between studies rather than sampling error, depends on precision, that is, …
to heterogeneity between studies rather than sampling error, depends on precision, that is, …
Missing data: A statistical framework for practice
JR Carpenter, M Smuk - Biometrical Journal, 2021 - Wiley Online Library
… There is a very sizeable statistical literature on this, whose evolution and connections are
explored in Carpenter & Kenward (2015b). Here we touch on the principal approaches, how …
explored in Carpenter & Kenward (2015b). Here we touch on the principal approaches, how …
Non-inferiority trials: are they inferior? A systematic review of reporting in major medical journals
S Rehal, TP Morris, K Fielding, JR Carpenter… - BMJ open, 2016 - bmjopen.bmj.com
Objective To assess the adequacy of reporting of non-inferiority trials alongside the
consistency and utility of current recommended analyses and guidelines. Design Review of …
consistency and utility of current recommended analyses and guidelines. Design Review of …
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
… Dr Carpenter reports personal fees from Pfizer, grants and non-financial support from GSK
and grants from Novartis, outside the submitted work. Dr Reeves is a co-convenor of the …
and grants from Novartis, outside the submitted work. Dr Reeves is a co-convenor of the …
[BOOK][B] Multiple imputation and its application
… Please email james.carpenter@lshtm .ac.uk in the first instance. … A comparison with
multiple imputation in a simple setting is given by Carpenter et al. (2006). The pros and cons are …
multiple imputation in a simple setting is given by Carpenter et al. (2006). The pros and cons are …
[BOOK][B] Meta-analysis with R
G Schwarzer, JR Carpenter, G Rücker - 2015 - Springer
Meta-analysis plays a key role in evidence synthesis in many research disciplines, not least
the social sciences, medicine and economics. The aim of this book is to equip those …
the social sciences, medicine and economics. The aim of this book is to equip those …
Multiple imputation of covariates by fully conditional specification: accommodating the substantive model
…, SR Seaman, IR White, JR Carpenter… - … methods in medical …, 2015 - journals.sagepub.com
Missing covariate data commonly occur in epidemiological and clinical research, and are
often dealt with using multiple imputation. Imputation of partially observed covariates is …
often dealt with using multiple imputation. Imputation of partially observed covariates is …
Sensitivity analysis after multiple imputation under missing at random: a weighting approach
JR Carpenter, MG Kenward… - Statistical methods in …, 2007 - journals.sagepub.com
Multiple imputation (MI) is now well established as a flexible, general, method for the analysis
of data sets with missing values. Most implementations assume the missing data are `…
of data sets with missing values. Most implementations assume the missing data are `…