Multiple Imputation for Incomplete Data in Epidemiologic Studies

Epidemiologic studies are frequently susceptible to missing information. Omitting observations with missing variables remains a common strategy in epidemiologic studies, yet this simple approach can often severely bias parameter estimates of interest if the values are not missing completely at rando...

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Detalles Bibliográficos
Publicado en:Am J Epidemiol
Autores principales: Harel, Ofer, Mitchell, Emily M, Perkins, Neil J, Cole, Stephen R, Tchetgen Tchetgen, Eric J, Sun, BaoLuo, Schisterman, Enrique F
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2018
Materias:
Practice of Epidemiology
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5860387/
https://ncbi.nlm.nih.gov/pubmed/29165547
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwx349
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