Theses/Dissertations from 2025
Variable Selection and Prediction Using Machine Learning Models in High-Dimensional Data, Apu Chandra Das
Optimal Two-Stage Phase II Bayesian Design, Yuanyuan Ji
Variable Selection with False Discovery Rate Control in High-Dimensional Data, Runqiu Wang
Theses/Dissertations from 2024
Mean from Median Estimation in Longitudinal Meta-Analysis of Quality of Life in Radiation Oncology Patients, Harlan R. Sayles
Theses/Dissertations from 2023
Inter-Rater Reliability of Statistics Based on Reconstructed Individual Patient Data from Published Kaplan-Meier Curves, Megan E. Smith
Statistical Methods for Semi-Competing and Competing Risks Data with Missing Event Types, Ruiqian Wu
Theses/Dissertations from 2021
Approximate Likelihood Based Estimations for Joint Models with Intractable Likelihoods, Karl Stessy M. Bisselou
Theses/Dissertations from 2020
Bayesian Modeling for Longitudinal Count Data: Applications in Biomedical Research, Morshed Alam
Statistical Modeling of Survival Data Using Frailty Models, Adams Kusi Appiah
Multi-level small area estimation based on calibrated hierarchical likelihood approach through bias correction with applications to COVID-19 data, Nirosha Rathnayake
Theses/Dissertations from 2019
Beta Regression Models for Repeated-Measures Data Analysis, Nicholas A. Hein