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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...
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| Publicado no: | Stat Methods Med Res |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5753848/ https://ncbi.nlm.nih.gov/pubmed/26329750 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280215601134 |
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