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Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score
Propensity-score matching is increasingly being used to estimate the effects of treatments using observational data. In many-to-one (M:1) matching on the propensity score, M untreated subjects are matched to each treated subject using the propensity score. The authors used Monte Carlo simulations to...
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2010
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| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2962254/ https://ncbi.nlm.nih.gov/pubmed/20802241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwq224 |
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