Cargando…
Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
Considerable recent interest has focused on doubly robust estimators for a population mean response in the presence of incomplete data, which involve models for both the propensity score and the regression of outcome on covariates. The usual doubly robust estimator may yield severely biased inferenc...
Autores principales: | Cao, Weihua, Tsiatis, Anastasios A., Davidian, Marie |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798744/ https://www.ncbi.nlm.nih.gov/pubmed/20161511 http://dx.doi.org/10.1093/biomet/asp033 |
Ejemplares similares
-
Group sequential methods for interim monitoring of randomized clinical trials with time‐lagged outcome
por: Tsiatis, Anastasios A., et al.
Publicado: (2022) -
Doubly Robust Estimation of Optimal Dynamic Treatment Regimes
por: Barrett, Jessica K., et al.
Publicado: (2013) -
On varieties of doubly robust estimators under missingness not at random with a shadow variable
por: Miao, Wang, et al.
Publicado: (2016) -
Doubly robust nonparametric inference on the average treatment
effect
por: Benkeser, D, et al.
Publicado: (2017) -
Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population
por: Lee, Dasom, et al.
Publicado: (2022)