variable (IV) analysis. While 2SPS and 2SRI with linear models are well-studied methods of causal inference, the properties of … of 2SPS and 2SRI for a logistic outcome model so that we can apply these IV approaches to the causal inference of binary …

This thesis examines causal inference related topics involving intermediate variables, and uses Bayesian methodologies … gestational age. Second, principal stratification methodology for settings where causal inference analysis requires appropriate … causal inference analysis, and opens a connection between these two fields. Demonstration focuses on two studies, one …

treatment, both of which are necessary conditions for causal inference. We then show that the experimental protocol did not …