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High-Dimensional Confounding Adjustment Using Continuous Spike and Slab Priors
In observational studies, estimation of a causal effect of a treatment on an outcome relies on proper adjustment for confounding. If the number of the potential confounders (p) is larger than the number of observations (n), then direct control for all potential confounders is infeasible. Existing ap...
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| Publicado en: | Bayesian Anal |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7236769/ https://ncbi.nlm.nih.gov/pubmed/32431779 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-ba1131 |
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