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Model misspecification and bias for inverse probability weighting estimators of average causal effects
Commonly used semiparametric estimators of causal effects specify parametric models for the propensity score (PS) and the conditional outcome. An example is an augmented inverse probability weighting (IPW) estimator, frequently referred to as a doubly robust estimator, because it is consistent if at...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087564/ https://www.ncbi.nlm.nih.gov/pubmed/36045099 http://dx.doi.org/10.1002/bimj.202100118 |