Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

20096,995 citationsJournal Articlehybrid Open Access

Authors

Jonathan A C Sterne · University of Bristol

Ian R. White · MRC Biostatistics Unit

John B. Carlin · Murdoch Children's Research Institute

Michael Spratt · University of Bristol

Patrick Royston · MRC Clinical Trials Unit at UCL

Michael G. Kenward · University of London

Angela Wood

Abstract

Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them

Topics & Keywords

Statistical Methods and Bayesian Inference Statistical Methods and Inference Survey Methodology and Nonresponse

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: BMJ

Volume 338, Issue jun29 1, pp. b2393-b2393

DOI: 10.1136/bmj.b2393

Field-Weighted Citation Impact: 112.07