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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2015
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| 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 |