The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study

BACKGROUND: Missing data often cause problems in longitudinal cohort studies with repeated follow-up waves. Research in this area has focussed on analyses with missing data in repeated measures of the outcome, from which participants with missing exposure data are typically excluded. We performed a...

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Detalles Bibliográficos
Autores principales: Karahalios, Amalia, Baglietto, Laura, Lee, Katherine J, English, Dallas R, Carlin, John B, Simpson, Julie A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751092/
https://www.ncbi.nlm.nih.gov/pubmed/23947681
http://dx.doi.org/10.1186/1742-7622-10-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751092/
https://www.ncbi.nlm.nih.gov/pubmed/23947681
http://dx.doi.org/10.1186/1742-7622-10-6

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