Multiple imputation in clinical trials – what difference does it make?: A systematic review of the impact of multiple imputation on treatment effect estimation
Multiple imputation did not consistently lead to more precise treatment effect estimates than complete case analysis in the trials included in the review. Findings should not be construed as an argument against the use of multiple imputation but suggest the standard approach of inflating the sample size for anticipated loss to follow-up is reasonable when multiple imputation is planned for analysis.
Authors
- Jana M Bednarz
- Katherine J Lee
- Lisa N Yelland
- Thomas R Sullivan
Institutions
- The University of Melbourne (AU)
- South Australian Health and Medical Research Institute (AU)
- Murdoch Children's Research Institute (AU)
- The University of Adelaide (AU)
Publication Details
- Journal
- Clinical Trials
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1177/17407745261422359
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00