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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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Vydáno v:Bayesian Anal
Hlavní autoři: Antonelli, Joseph, Parmigiani, Giovanni, Dominici, Francesca
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
Témata:
On-line přístup: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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