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Covariate association eliminating weights: a unified weighting framework for causal effect estimation
Weighting methods offer an approach to estimating causal treatment effects in observational studies. However, if weights are estimated by maximum likelihood, misspecification of the treatment assignment model can lead to weighted estimators with substantial bias and variance. In this paper, we propo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481550/ https://www.ncbi.nlm.nih.gov/pubmed/31031408 http://dx.doi.org/10.1093/biomet/asy015 |