Browsing by Subject "causal inference"
Now showing items 1-5 of 5
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Advancements in Probabilistic Machine Learning and Causal Inference for Personalized Medicine
(2019)In this dissertation, we present four novel contributions to the field of statistics with the shared goal of personalizing medicine to individual patients. These methods are developed to directly address problems in health ... -
Essays on Propensity Score Methods for Causal Inference in Observational Studies
(2018)In this dissertation, I present three essays from three different research projects and they involve different usages of propensity scores in drawing causal inferences in observational studies. Chapter 1 talks about the ... -
Essays on Theoretical Methods for Environmental and Developmental Economics Policy Analysis
(2020)This dissertation contributes to the fields of environmental, natural resource and development economics. It contains three essays, each tackling related but different sets of questions by developing theoretical, analytical ... -
Modeling and Methodological Advances in Causal Inference
(2021)This thesis presents several novel modeling or methodological advancements to causal inference. First, we investigate the use of propensity score weighting in the randomized trials for covariate adjustment. We introduce ... -
Probing the Effective Treatment Thresholds for Alteplase in Acute Ischemic Stroke With Regression Discontinuity Designs.
(Frontiers in neurology, 2020-01)Randomized Controlled Trials (RCTs) are considered the gold standard for measuring the efficacy of medical interventions. However, RCTs are expensive, and use a limited population. Techniques to estimate the effects of stroke ...
