Imputation strategies for missing binary outcomes in cluster randomized trials

BACKGROUND: Attrition, which leads to missing data, is a common problem in cluster randomized trials (CRTs), where groups of patients rather than individuals are randomized. Standard multiple imputation (MI) strategies may not be appropriate to impute missing data from CRTs since they assume indepen...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Jinhui, Akhtar-Danesh, Noori, Dolovich, Lisa, Thabane, Lehana
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3055218/
https://www.ncbi.nlm.nih.gov/pubmed/21324148
http://dx.doi.org/10.1186/1471-2288-11-18

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3055218/
https://www.ncbi.nlm.nih.gov/pubmed/21324148
http://dx.doi.org/10.1186/1471-2288-11-18

Ejemplares similares