Improving upon the efficiency of complete case analysis when covariates are MNAR

Missing values in covariates of regression models are a pervasive problem in empirical research. Popular approaches for analyzing partially observed datasets include complete case analysis (CCA), multiple imputation (MI), and inverse probability weighting (IPW). In the case of missing covariate valu...

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Detalles Bibliográficos
Autores principales: Bartlett, Jonathan W., Carpenter, James R., Tilling, Kate, Vansteelandt, Stijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173105/
https://www.ncbi.nlm.nih.gov/pubmed/24907708
http://dx.doi.org/10.1093/biostatistics/kxu023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173105/
https://www.ncbi.nlm.nih.gov/pubmed/24907708
http://dx.doi.org/10.1093/biostatistics/kxu023

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