Missing Data Approaches in eHealth Research: Simulation Study and a Tutorial for Nonmathematically Inclined Researchers

BACKGROUND: Missing data is a common nuisance in eHealth research: it is hard to prevent and may invalidate research findings. OBJECTIVE: In this paper several statistical approaches to data “missingness” are discussed and tested in a simulation study. Basic approaches (complete case analysis, mean...

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Detalles Bibliográficos
Autores principales: Blankers, Matthijs, Koeter, Maarten W J, Schippers, Gerard M
Formato: Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2010
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057309/
https://www.ncbi.nlm.nih.gov/pubmed/21169167
http://dx.doi.org/10.2196/jmir.1448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057309/
https://www.ncbi.nlm.nih.gov/pubmed/21169167
http://dx.doi.org/10.2196/jmir.1448

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