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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...
में बचाया:
| में प्रकाशित: | Bayesian Anal |
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| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2019
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| विषय: | |
| ऑनलाइन पहुंच: | 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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