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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Detalles Bibliográficos
Autores principales: Mukaka, Mavuto, White, Sarah A., Terlouw, Dianne J., Mwapasa, Victor, Kalilani-Phiri, Linda, Faragher, E. Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957845/
https://www.ncbi.nlm.nih.gov/pubmed/27450066
http://dx.doi.org/10.1186/s13063-016-1473-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957845/
https://www.ncbi.nlm.nih.gov/pubmed/27450066
http://dx.doi.org/10.1186/s13063-016-1473-3

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