Global ETD Search
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Showing 1 to 2 of 2 for “"Unmeasured confounder."”.
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Bayesian models for unmeasured confounder in the analysis of time-to-event data.
Observational studies that omit confounders are subject to bias. In this dissertation we consider the specific case of time-to-event data. We also provide both the Bayesian parametric and the semi-parametric "twin regression" approaches with distributional assumptions of an unmeasured confounding …
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Some Selective Inference and Optimization Methods for Reliable Causal Inference
… experimental data and observational data with unmeasured confounding. It is organized in three chapters. The first chapter outlines the historical development of causal inference and reviews different frameworks for defining causality. We describe common approaches to draw inference from both …