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Complications in Causal Inference: Incorporating Information Observed After Treatment is Assigned
Randomized experiments are the gold standard for inferring causal effects of treatments. However, complications often arise in randomized experiments when trying to incorporate additional information that is observed after ...
Core-collapse Supernova Progenitors in the Era of Untargeted Transient Searches
Core-collapse supernovae (SNe) are the highly energetic explosions of massive stars (> 8 solar masses) that are pervasive in their influence throughout astrophysics. They are the phenomenon with primary responsibility for ...
Advances in the Normal-Normal Hierarchical Model
This thesis consists of results relating to the theoretical and computational advances in modeling the Normal-Normal hierarchical model.
A Bayesian Perspective on Factorial Experiments Using Potential Outcomes
Factorial designs have been widely used in many scientific and industrial settings, where it is important to distinguish "active'' or real factorial effects from "inactive" or noise factorial effects used to estimate ...
Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation
A relatively recent increase in the popularity of evidence-based activism has created a higher demand for statisticians to work on human rights and economic development projects. The statistical challenges of revealing ...
Post-Genomic Approaches to Personalized Medicine: Applications in Exome Sequencing, Microbiome, and COPD
Since the completion of the sequencing of the human genome at the turn of the century, genomics has revolutionized the study of biology and medicine by providing high-throughput and quantitative methods for measuring ...
The Value of Targeted Therapies in Lung Cancer
The goal of this dissertation was to examine the realized value of targeted therapies in routine care and to identify opportunities for improving the return on medical spending for these technologies. Chapter 1 investigated ...
Topics in experimental and tournament design
We examine three topics related to experimental design in this dissertation. Two are related to the analysis of experimental data and the other focuses on the design of paired comparison experiments, in this case knockout ...
Statistical Methods for Aggregation of Indirect Information
How to properly aggregate indirect information is more and more important. In this dissertation, we will present two aspects of the issue: indirect comparison of treatment effects and aggregation of ordered-based rank data.
Methods for Analyzing Survival and Binary Data in Complex Surveys
Studies with stratified cluster designs, called complex surveys, have increased in popularity in medical research recently. With the passing of the Affordable Care Act, more information about effectiveness of treatment, ...