Comparison of the ability of double-robust estimators to correct bias in propensity score matching analysis. A Monte Carlo simulation study.
<h4>Objective</h4> <p>As covariates are not always adequately balanced after propensity score matching and double-adjustment can be used to remove residual confounding, we compared the performance of several double-robust estimators in different scenarios.</p> <h4>Meth...
| Principais autores: | , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Wiley
2017
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