Estimating the effect of treatment on binary outcomes using full matching on the propensity score

Many non-experimental studies use propensity-score methods to estimate causal effects by balancing treatment and control groups on a set of observed baseline covariates. Full matching on the propensity score has emerged as a particularly effective and flexible method for utilizing all available data...

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Detalles Bibliográficos
Autores principales: Austin, Peter C, Stuart, Elizabeth A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2015
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753848/
https://www.ncbi.nlm.nih.gov/pubmed/26329750
http://dx.doi.org/10.1177/0962280215601134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753848/
https://www.ncbi.nlm.nih.gov/pubmed/26329750
http://dx.doi.org/10.1177/0962280215601134

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