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Methods for High-Dimensional Inference in Genetic Association Studies
(2017-05-10)
Genetic association studies are frequently characterized by high-dimensional datasets containing rare and weak signals. To detect these signals, it is important to choose inference methods that are both robust and powerful ...
Statistical Methods for the Analysis of Observational Data With Multiple Correlated Outcomes
(2017-09-11)
In this work, we consider three problems in applied statistics motivated by complex datasets, with approaches from both Frequentist and Bayesian paradigms. Chapter 2 is motivated by case-control data collected for the Army ...
Statistical Methods for Assessing Complex Multi-Exposure Data in HIV and Genetic Epidemiology
(2018-05-16)
Complex, multi-exposure problems arise in many forms. In this dissertation, we delve into three disparate forms of complex, multi-exposure questions, from the safety of combination antiretroviral (ARV) regimens to the ...
On the Estimation and Prediction of Tie Strength in Social Networks
(2017-05-08)
Humans interact with each other both online and in-person, forming and dissolving social ties throughout our lives. The flexible architecture of networks or graphs make them a useful paradigm for modeling these complex ...
Methods for Estimating the Health Effects of Exposure to Point Sources of Emissions Using Large-Scale and Diverse Data Sources
(2018-04-30)
There is a well-documented association between exposure to fine particulate matter (PM2.5) and numerous health outcomes, with some evidence suggesting PM2.5 originating from coal combustion may have different health impacts. ...