Bayesian Mixture Modeling Approaches for Intermediate Variables and Causal Inference
<p>This thesis examines causal inference related topics involving intermediate variables, and uses Bayesian methodologies to advance analysis capabilities in these areas. First, joint modeling of outcome variables with intermediate variables is considered in the context of birthweight and cens...
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2010
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| Online Access: | http://hdl.handle.net/10161/2983 |