Browsing Graduate Theses and Dissertations - Biostatistics, Bioinformatics & Biomathematics by Title
Now showing items 1-7 of 7
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Causal Inference for Measures of Health Disparities
(Georgetown University, 2022)There is increased interest in the evaluation of health disparities between different socioeconomic groups using data from observational studies. However, in the absence of randomization, the results and conclusions may ... -
Functional Regression Models for Gene-Based Longitudinal and Survival Studies
(Georgetown University, 2021)Functional regression (FR) models have been applied to gene-based studies to explore the association between genetic variants and univariate traits. However, there are no statistical methods to analyze complex traits from ... -
Highly Robust Semiparametric Method and Its Applications in Biomedical Studies
(Georgetown University, 2022)Causal inference has garnered renewed attention as the result of increased demand in comparative observational studies, and clinical trials utilizing real-world data, which are playing an increasingly more important role ... -
Modeling Vulnerability of Opioid-Associated Hepatitis B and C Infections: A Spatial Epidemiological Approach
(Georgetown University, 2022)The opioid epidemic in the United States has been associated with an increase in rates of hepatitis B and C infection across the country. This is due to an increase in the use of intravenous drug injection which allows the ... -
Network Analysis in Human Microbiome Study
(Georgetown University, 2023)Microorganisms coexist with complex interacting relationships that form dynamic stability and support health or cause a disease. Characterizing microbial interactions by statistical network analyses is useful to better ... -
Regularized Local Smoothing for Longitudinal Analysis with Time-Varying Coefficient Models and Transformation Models
(Georgetown University, 2022)This dissertation concerns selecting locally influential variables in both conditional mean and conditional distribution-based models with high-dimensional longitudinal data. Motivated by a large epidemiological study for ... -
Semi-parametric Panel Count Model for Drug Safety Evaluation
(Georgetown University, 2021)In this dissertation, we study issues related to drug safety evaluation. In the first part, we focus on the adverse event (AE) signal detection in post-market surveillance systems. We derive a semi-parametric panel count ...
