Variable selection and estimation in causal inference using Bayesian spike and slab priors
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Unbiased estimation of causal effects with observational data requires adjustment for confounding variables that are related to both the outcome and treatment assignment. Standard variable selection techniques aim to maximize predictive ability of the outcome ... ...
