Cargando…
Propensity score analysis with partially observed covariates: How should multiple imputation be used?
Inverse probability of treatment weighting is a popular propensity score-based approach to estimate marginal treatment effects in observational studies at risk of confounding bias. A major issue when estimating the propensity score is the presence of partially observed covariates. Multiple imputatio...
Autores principales: | Leyrat, Clémence, Seaman, Shaun R, White, Ian R, Douglas, Ian, Smeeth, Liam, Kim, Joseph, Resche-Rigon, Matthieu, Carpenter, James R, Williamson, Elizabeth J |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313366/ https://www.ncbi.nlm.nih.gov/pubmed/28573919 http://dx.doi.org/10.1177/0962280217713032 |
Ejemplares similares
-
Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model
por: Bartlett, Jonathan W, et al.
Publicado: (2015) -
Multiple imputation for an incomplete covariate that is a ratio
por: Morris, Tim P, et al.
Publicado: (2014) -
Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods
por: Seaman, Shaun R, et al.
Publicado: (2012) -
Combining multiple imputation and meta-analysis with individual participant data
por: Burgess, Stephen, et al.
Publicado: (2013) -
Imputing missing covariate values for the Cox model
por: White, Ian R, et al.
Publicado: (2009)