Missing data and multiple imputation in clinical epidemiological research

Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MC...

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Detalles Bibliográficos
Autores principales: Pedersen, Alma B, Mikkelsen, Ellen M, Cronin-Fenton, Deirdre, Kristensen, Nickolaj R, Pham, Tra My, Pedersen, Lars, Petersen, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358992/
https://www.ncbi.nlm.nih.gov/pubmed/28352203
http://dx.doi.org/10.2147/CLEP.S129785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358992/
https://www.ncbi.nlm.nih.gov/pubmed/28352203
http://dx.doi.org/10.2147/CLEP.S129785

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