Cargando…
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the particular characteristics of a randomized controlled trial. In...
Autor principal: | Austin, Peter C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144483/ https://www.ncbi.nlm.nih.gov/pubmed/21818162 http://dx.doi.org/10.1080/00273171.2011.568786 |
Ejemplares similares
-
Linear high-dimensional mediation models adjusting for confounders using propensity score method
por: Luo, Linghao, et al.
Publicado: (2022) -
Performance of the high-dimensional propensity score in adjusting for unmeasured confounders
por: Guertin, Jason R, et al.
Publicado: (2016) -
Using ecological propensity score to adjust for missing confounders in small area studies
por: Wang, Yingbo, et al.
Publicado: (2019) -
The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies
por: Austin, Peter C
Publicado: (2010) -
Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data
por: Kumamaru, Hiraku, et al.
Publicado: (2022)