Graduates 2020 to present
| Name | Graduation Date | Advisor | Dissertation Title |
| Wei-En Lu | 2024 | Andy Ni | Causal Inference in Case-Cohort Studies Using Restricted Mean Survival Time |
| Ruochen Zhao | 2024 | Bo Lu | Template Matching Methods for Causal Inference in Complex Observational Studies |
| Qingyu Chen | 2024 | Shili Lin | Association Test and Variable Selection in Microbiome Analysis with Phylogeny |
| Yuxi Zhu | 2024 | Lang Li | Application of Multistate Transition Models in Electronic Medical Record Data |
| David Angeles | 2024 | Sebastian Kurtek | Algorithmic Estimation for Partially Observed Functions and Shapes |
| Alyssa Farmer | 2023 | Eloise Kaizar | Quantifying the Extendibility of Inferences from Randomized Controlled Trials to Target Populations |
| Md Rejuan Haque | 2023 | Laura Kubatko | Testing Global Hypotheses using Combination Tests, with Application to Phylogenetic Inference |
| Guowei Li | 2023 | Kellie Archer | Variable selection for competing risks in high-dimensional covariate spaces without and with missing data |
| Xin Liu | 2023 | Patrick Schnell | Bayesian Data Augmentation for Recurrent Events Under Intermittent Assessment in Overlapping Intervals |
| Xiaohan Guo | 2022 | Sebastian Kurtek | Analysis of spatial functional data with phase variation |
| Qiaolan Deng | 2022 | Shili Lin | Multi-trait Analysis of Genome-wide Association Studies using Adaptive Fisher’s Method |
| Zihan Li | 2022 | Causal Inference for Observational Survival Data using Restricted Mean Survival Time Model | |
| Anna Seffernick | 2022 | Kellie Archer | Penalized Bayesian ordinal response models with applications to discrete survival time and non-proportional odds models |
| Han Fu | 2022 | Kellie Archer | Variable selection for high-dimensional data with error control |
| Jing Peng | 2021 | Laura Kubatko | Speciation Time and Hybridization Under the Multispecies Coalescent: Estimation and Hypothesis Testing |
| Qing Xie | 2021 | Shili Lin | Single Cell Hi-C Matrix Imputation |
| Woobeen Lim | 2021 | Michael Pennell | Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and Discrete Outcomes |
| Shuyuan Lou | 2021 | Shili Lin | Simulation Algorithm and Bayesian Analysis of Chromatin Interactions |
| Yuan Gao | 2020 | Laura Kubatko | A Phylogenetic Approach to Study Cancer Progression |
| Xiao Zang | 2020 | Oksana Chkrebtii and Sebastian Kurtek | Clustering Functional Data Based on Amplitude-Phase Separation |
| Chenggong Han | 2020 | Shili Lin | Statistical Models and Computational Methods for Studying DNA Differential Methylation and 3D Genome Structure |
| Yuyang Zhang | 2020 | Bo Lu | Heterogeneous Treatment Effect Estimation in Observational Studies using Tree-based Methods |
Graduates 2012-2019
| Name | Graduation Date | Advisor | Dissertation Title |
|---|---|---|---|
| Jonathan Race | 2019 | Michael Pennell | Semiparametric Survival Analysis via Dirichlet Process Mixtures of the First Hitting Time Model |
| Giovanni Nattino | 2019 | Bo Lu and Stanley Lemeshow | Causal Inference in Observational Studies with Complex Design: Multiple Arms, Complex Sampling and Intervention Effects |
| Wenna Xi | 2019 | Catherine Calder | Community Structure in Co-Location Networks |
| Yiran Zhang | 2019 | Kellie Archer | Bayesian Variable Selection for High-Dimensional Data with an Ordinal Response |
| Brittney Bailey | 2018 | Rebecca Andridge and Abigail Shoben | Data Analysis and Multiple Imputation for Two-level Nested Designs |
| Yihan Sui | 2018 | Grzegorz Rempala and Chi Song | Analyzing Spatial Longitudinal Incidence Patterns Using Dynamic Multivariate Poisson Models |
| Ranran Dong | 2018 | Abigail Shoben | Stepped Wedge Cluster Randomized Controlled Trials for Three-Level Data: Design and Evaluation |
| Amy Stark | 2017 | Abigail Shoben | Early Clinical Trial Design Recommendations in Oncology Based on Overall Success Across Phases I, II, and III |
| Mark Burch | 2016 | Grzegorz Rempala | Stochastic Epidemic Models on Dynamic Random Networks and Their Statistical Analysis |
| Rong Lu | 2016 | Grzegorz Rempala | Statistical Methods for Functional Genomics Studies Using Observational Data |
| David Kline | 2015 | Rebecca Andridge and Eloise Kaizar | Systematically Missing Subject-Level Data in Longitudinal Research Synthesis |
| Fangyuan Zhang | 2015 | Shili Lin | Detecting Genomic Imprinting and Maternal Effects in Family-based Association Studies |
| Robert Ashmead | 2014 | Bo Lu | Propensity Score Methods for Estimating Causal Effects from Complex Survey Data |
| Shasha Bai | 2014 | H. N. Nagaraja | Inference on Intraclass Correlation Coeffients arising in a General Clustered Repeated-Measures Design |
| Alice Hinton | 2014 | H. N. Nagaraja | Contributions to Discriminant Analysis of Cross-Sectional and Longitudinal Data with Applications |
| Danielle Sullivan | 2013 | Rebecca Andridge | A Hot Deck Imputation Procedure for Multiply Imputing Nonignorable Missing Data: The Proxy Pattern-Mixture Hot Deck |
| Beomseuk Hwang | 2013 | Michael Pennell | Bayesian Semiparametric Joint Modeling with Applications in Toxicological Risk Assessment |
| Liang Niu | 2012 | Shili Lin | Statistical Modeling and Analysis of Chromatin Interactions |
| Roger Erich | 2012 | Michael Pennell | Regression Modeling of Time to Event Data using the Ornstein-Uhlenbeck Process |
