Does pattern mixture modelling reduce bias due to informative attrition compared to fitting a mixed effects model to the available cases or data imputed using multiple imputation?: a simulation study

BACKGROUND: Informative attrition occurs when the reason participants drop out from a study is associated with the study outcome. Analysing data with informative attrition can bias longitudinal study inferences. Approaches exist to reduce bias when analysing longitudinal data with monotone missingne...

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Detalles Bibliográficos
Autores principales: Welch, Catherine A., Sabia, Séverine, Brunner, Eric, Kivimäki, Mika, Shipley, Martin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114233/
https://www.ncbi.nlm.nih.gov/pubmed/30157752
http://dx.doi.org/10.1186/s12874-018-0548-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114233/
https://www.ncbi.nlm.nih.gov/pubmed/30157752
http://dx.doi.org/10.1186/s12874-018-0548-0

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