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Theses/Dissertations from 2024

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Statistical Approaches For The Early Detection Of Colorectal Cancer Using Longitudinal Biomarkers, Emily Berry

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Bayesian Variational Inference in Keyword Identification and Multiple Instance Classification, Yaofang Hu

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Bayesian and Deep Generative Modeling in Immunology, Yuqiu Yang

Theses/Dissertations from 2023

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Development of Bayesian Hierarchical Methods involving Meta-Analysis, Jackson Barth

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Optimizing Tumor Xenograft Experiments Using Bayesian Linear and Nonlinear Mixed Modelling and Reinforcement Learning, Mary Lena Bleile

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A Comparison of Confidence Intervals in State Space Models, Jinyu Du

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Bayesian Statistical Modeling of Spatially Resolved Transcriptomics Data, Xi Jiang

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Statistical Methods for Evaluating Treatment Effects from Surgical Registry Data, Hang Nguyen

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Contributions to Causal Inference in Observational Studies, Jenny Park, Daniel F. Heitjan, and Christy Boling Turer

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Empirical Likelihood Ratio Tests for Homogeneity of Distributions of Component Lifetimes from System Lifetime Data with Known System Structures, Jingjing Qu

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Influence Diagnostics for Generalized Estimating Equations Applied to Correlated Categorical Data, Louis Vazquez

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Deep Learning Prediction and Its Application in Antimicrobial Resistance, Yiqing Wang

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Interpretable Word-Level Sentiment Analysis With Attention-Based Multiple Instance Classification Models, Chenyu Yang

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Deep Learning for Microbiome-based Integrative Modeling and Microbial Biomarkers Identification, Sen Yang

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Optimal Experimental Planning of Reliability Experiments Based on Coherent Systems, Yang Yu

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Bayesian Methods for Random-Effects Meta-Analysis of Rare Binary Events in Biomedical Research, Ming Zhang

Theses/Dissertations from 2022

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Compositional Datasets and the Nested Dirichlet Distribution, Bianca Luedeker

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Regression Modeling of Complex Survival Data based on Pseudo-Observations, Rong Rong

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Dynamic Prediction for Alternating Recurrent Events Using a Semiparametric Joint Frailty Model, Jaehyeon Yun

Theses/Dissertations from 2021

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Modified Degradation Process Models and Statistical Methods for Assessing Robustness and Reliability of Complex Networks, Yuzhou Chen

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Bayesian Statistical Modeling of Metagenomics Sequencing Data, Shuang Jiang

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Estimation Of Parameters Of Gamma And Generalized Gamma Distributions Based On Censored Experimental Data, Xiangwen Shang

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Exact Inference for Meta-Analysis of Rare Events and Its Application in Human Genetics, Yanqiu Shao

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Differential Methods In Modern Biological Data Analysis, Micah Thornton

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Bayesian Multiple Instance Learning with Application to Cancer Detection Using TCR Repertoire Sequencing Data, DANYI XIONG

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Ultra-High Dimensional Bayesian Variable Selection With Lasso-Type Priors, Can Xu

Theses/Dissertations from 2020

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Sensitivity Analysis for Incomplete Data and Causal Inference, Heng Chen

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Causal Inference and Prediction on Observational Data with Survival Outcomes, Xiaofei Chen

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Integrating Different Data Sources for Estimation of Total with Unknown Population Size, Zhaoce Liu

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Statistical Models and Analysis of Univariate and Multivariate Degradation Data, Lochana Palayangoda

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Bayesian Semi-supervised Keyphrase Extraction and Jackknife Empirical Likelihood for Assessing Heterogeneity in Meta-analysis, GUANSHEN WANG

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Statistical Modeling of High-throughput Sequencing Data and Spatially Resolved Transcriptomic Data, Shen Yin

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Examining Multiple Imputation for Measurement Error Correction in Count Data with Excess Zeros, Shalima Zalsha

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Improved Statistical Methods for Time-series and Lifetime Data, Xiaojie Zhu

Theses/Dissertations from 2019

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Estimation and Variable Selection in High-Dimensional Settings with Mismeasured Observations, Michael Byrd

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Sample Size Calculation of Clinical Trials with Correlated Outcomes, Dateng Li

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Clinical Trial Design and Analysis, Shuang Li

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Modeling Stochastically Intransitive Relationships in Paired Comparison Data, Ryan Patrick Alexander McShane

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Advances in Measurement Error Modeling, Linh Nghiem

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Robust And Adaptive Design Approaches For Stepped Wedge Cluster Randomized Trials, Jijia Wang

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Samples, Unite! Understanding the Effects of Matching Errors on Estimation of Total when Combining Data Sources, Benjamin Williams

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Sample Size Considerations for Clustered and Correlated Outcomes in Clinical Research, XIAOHAN XU

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Inference of Heterogeneity in Meta-analysis of Rare Binary Events and RSS-structured Cluster Randomized Studies, Chiyu Zhang

Theses/Dissertations from 2018

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Discrete Ranked Set Sampling, Heng Cui

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Statistical Analysis In Cancer Survivorship, zhiyun Ge

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Developing Statistical Methods For Data From Platforms Measuring Gene Expression, Gaoxiang Jia

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Association Tests for Genetic Effect and Its Interaction with Environmental Factors, Zhengyang Zhou