Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?

BACKGROUND: Missing outcomes can seriously impair the ability to make correct inferences from randomized controlled trials (RCTs). Complete case (CC) analysis is commonly used, but it reduces sample size and is perceived to lead to reduced statistical efficiency of estimates while increasing the pot...

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Detalhes bibliográficos
Publicado no:Trials
Main Authors: Mukaka, Mavuto, White, Sarah A., Terlouw, Dianne J., Mwapasa, Victor, Kalilani-Phiri, Linda, Faragher, E. Brian
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2016
Assuntos:
Methodology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4957845/
https://ncbi.nlm.nih.gov/pubmed/27450066
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13063-016-1473-3
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