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...

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Detalles Bibliográficos
Autores principales: Waernbaum, Ingeborg, Pazzagli, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Inference
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

Internet

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

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