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Performance of Matching Methods as Compared With Unmatched Ordinary Least Squares Regression Under Constant Effects
Matching methods are assumed to reduce the likelihood of a biased inference compared with ordinary least squares (OLS) regression. Using simulations, we compared inferences from propensity score matching, coarsened exact matching, and unmatched covariate-adjusted OLS regression to identify which met...
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| Publicado no: | Am J Epidemiol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6601529/ https://ncbi.nlm.nih.gov/pubmed/30995301 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwz093 |
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