果冻影院 Biostatistics Students
Biostatistics Alumni
Important Materials for Alumni
PhD Alumni:
Ulrich Kemmo Tsafack, PhD 2024
Advisors: Kwang Woo Ahn and Chien-Wei Lin
Thesis: Statistical learning algorithms for high dimensional multi-omics data]{\Large Statistical learning algorithms for high dimensional multi-omics data.
Xi Fang, PhD 2024
Advisors: Soyoung Kim and Kwang Woo Ahn
Thesis: Statistical Methods to improve estimation efficiency for right-censored data under observational studies and clinical trials
Employment: Post-doc at Yale University
Yu Wang, PhD 2024
Advisors: Chien-Wei Lin and Kwang Woo Ahn
Thesis: Machine learning approaches for single cell RNA-seq study design and composite endpoint data
Employment: Post-doc at 果冻影院
Manoj Khanal, PhD 2022
Advisor: Kwang Woo Ahn, PhD
Thesis: Semiparametric regression models for clustered right-censored data under clinical trials and observational studies
Employment: Eli Lily
Xinran Qi, PhD 2021
Advisors: Prakash Laud, PhD and Aniko Szabo, PhD
Thesis: Inference with complex-structured data: controlled group-wise variable selection using a Generative Adversarial Network knockoff filter, unconditional reproducibility probability filter, and semi-parametric inference
Employment: Post-doc at Stanford, Neurology and Neurological Sciences
Yizeng (Molly) He, PhD 2021
Advisor: Kwang Woo Ahn, PhD
Thesis: Robust estimation for competing risks data analysis
Employment: Abbvie
Tucker Keuter, PhD 2020
Advisor: Anjishnu Banerjee, PhD
Thesis: Bayesian Learning In a Nearest-neighbor Gaussian process (BLING): a model for high-dimensional, spatially correlated, categorical outcomes in prostate cancer imaging
Employment: Charter Steel
Charley Spanbauer, PhD 2020
Advisors: Purushottam Laud, PhD and Rodney Sparapani, PhD
Thesis: Machine-Learning Extensions to Bayesian Additive Regression Tress for Precision Medicine in Clinical Trials
Employment: University of Minnesota Division of Biostatistics
Yayun (Alice) Xu, PhD 2020
Advisors: Soyoung Kim, PhD and Mei-Jie Zhang, PhD
Thesis: Statistical Methods for Competing Risks Data under the Case-cohort Study Design
Employment: Merck
Bonifride (Frida) Tuyishimire, PhD 2019
Advisor: Brent Logan, PhD and Purushottam Laud, PhD
Thesis: Additivity Assessment in Nonparametric Regression Models
Employment: EMMES Corporation
Nicolas DeVogel, PhD 2019
AdvisorTao Wang, PhD
Thesis: Adjustment of familial relatedness and population structure in linear mixed models
Employment: Abbvie
Natasha Sahr, PhD 2018
Advisor: Kwang Woo Ahn, PhD
Thesis: Variable Screening and Selection for Survival and Competing Risks Data with Grouped Covariates
Yushu Shi, PhD 2017
Advisor: Prakash Laud, PhD
Thesis: Weibull Mixture Models for Regression in the Context of Time-to-Event Data
Employment: MD Anderson Cancer Center
Michael Martens, PhD 2017
Advisor: Brent Logan, PhD
Thesis: Group Sequential Design and Sample Size Calculations for Covariate Adjusted Competing Risks and Survival Analysis
Employment: EMMES Corporation
Ying Zhang, PhD 2016
Advisor: Mei-Jie Zhang, PhD
Thesis: Inference of Transition Probabilities in Multi-state Models Adaptive Inverse Probability Censoring Weighting Technique
Employment after graduation: Merck
Jianing Li, PhD 2015
Advisor: Mei-Jie Zhang, PhD
Thesis: Treatment Effect Adjustment and Model Diagnosis for Competing Risks Data
Employment after graduation: Merck
Yanzhi Wang, PhD 2014
Advisor: Brent Logan, PhD
Thesis: Generalized Linear Mixed Models for Correlated Time to Event Data Using Pseudo-Values
Peng He, PhD, 2014
Advisor: Mei-Jie Zhang, PhD
Thesis: Bias reduction by using covariate-adjusted censoring weights for survival and competing risks data
Employment after graduation: Amgen (Thousand Oaks, CA)
Kristin Ellis, PhD, 2013
Advisor: Aniko Szabo, PhD
Thesis: Developing Methods to Categorize Survival Data
Employment after graduation: Procter & Gamble
Franco Mendolia, PhD, 2013
Advisor: Tao Wang, PhD
Thesis: Pseudo-Observation Regression in the Presence of Left Truncation
Employment after graduation: German Aerospace Center (DLR)
Shuyuan Mo, PhD 2011
Advisor: Brent Logan, PhD
Thesis: Inference in the Presence of Crossing Survival Curves
Employment after graduation: Novartis
Changbin Guo, PhD 2011
Advisor: John Klein, PhD
Thesis: Regression Models for Association in Clustered Survival Data Based on Pseudo-Observations
Employment after graduation: SAS
Rodney Sparapani, PhD 2011
Advisor: Prakash Laud, PhD
Thesis: Generalized Linear Mixed Models in health Services Research with Large Data Banks: A Bayesian Implementation
Employment after graduation: The 果冻影院
Xiaolin Fan, PhD 2008
Advisor: Prakash Laud, PhD
Thesis: Bayesian Nonparametric Inference for Competing Risks Data
Employment after graduation: Novartis
Nicholas Pajewski, PhD 2008
Advisor: Prakash Laud, PhD
Thesis: Bayesian Semiparametric Hierarchical Models for Genetic Association Studies in the Presence of Population Structure and Multiplicity
Yinghua Zhang, PhD 2007
Advisor: John P. Klein, PhD
Thesis: Selecting Between the Cox and Aalen Model for Censored Survival Data
Jingxia Liu, PhD 2007
Advisor: Mei-Jie Zhang, PhD
Thesis: Utilizing Propensity Scores to Test Treatment Effects in Survival Data
Xu Zhang, PhD 2005
Advisor: Mei-Jie Zhang, PhD
Thesis: Inference for Cumulative Incidence Function with Right Censored and/or Left Truncated Competing Risks Data
Leiyan Lu, PhD 2005
Advisor: John P. Klein, PhD
Thesis: Explained Variation in Survival Analysis and Hypothesis Testing for Current Leukemia Free Survival
Hong Wang, PhD 2004
Advisor: John P. Klein, PhD
Thesis: Inference for the Shared Power Variance Function Frailty Model and the Correlated Inverse Gaussion Frailty Model
Ruta Bajorunaite, PhD 2003
Advisor: John P. Klein, PhD
Thesis: Comparison of Failure Probabilities in the Presence of Competing Risks
Matthew Hayat, PhD 2002
Advisor: Prakash Laud, PhD
Thesis: Bayesian Methods for Longitudinal Data
Youyi Shu, PhD 2001
Advisor: John P. Klein, PhD
Thesis: Multistate Survival Models Theory And Applications
Jingtao Wu, PhD 2001,
Advisor: John P. Klein, PhD
Thesis: Statistical Methods For Discretizing A Continuous Covariate In A Censored Data Regression Model
MS Alumni:
Jong Won Lee, MS 2024
Advisor: Sergey Tarima, PhD
Dexuan Zhang, MS 2023
Advisor: Sergey Tarima, PhD
Donggwan Lee, MS 2022
Junmin Shi, MS 2012
Aaron Katch, MS 2012
Mikesh Shivakoti, MS 2012
Leann Watts, MS 2011
Victoria Rajamanickam, MS 2007
Manoj Thakur, MS 2006
Alain DeClaux Tallasouop, MS 2006
Lauren Cerull, MS 2005
Thesis: Assessing Discharge Location for Geriatric Fall Patients
Christopher Meller, MS 2004
Thesis: Modeling fMRI Series Using a Nonlinear Method
Youyi Shu, MS 2001
Thesis: A SAS Macro for the Positive Frailty Model
Huajian Tang, MS 2000
Thesis: A Regression-Based Transmission / Disequilibrium Test For Binary Traits Using A Logit Link Function
Zhiyuan Xu, MS 1998
Thesis: A SAS Macro for the Score Test of Homogeneity for Survival Data
Philip Rowlings, MS 1997
Thesis: A Revised Severity Index For Acute Graft-Versus-Host Disease Following HLA-Identical Sibling Bone Marrow Transplants For Leukemia
Thomas Chelius, MS 1997
Thesis: Analysis Of Variance With Structural Zeroes
Jian Chen, MS 1997
Thesis: A SAS Module For The Inverse Gaussian Frailty Model
Jeff Gudmonson, MS 1997
Thesis: A SAS Macro For The GAMMA Frailty Model
James Gapinski, MS 1996
Thesis: The Evaluation And Application Of Methods For Detecting Unnecessary Hospital Stay In Patients With Congestive Heart Failure
Alicia Howell, MS 1996
Thesis: A SAS Macro For The Additive Hazards Regression Model
Geraldine Brown, MS, 1996
Thesis: Effects of Prognostic Factors on Cataract in Family Data From The Beaver Dam Eye Study
Astrid M眉ller, MS 1995
Thesis: Evaluation Of Efficacy Of Endoscopy In Reducing Mortality And Morbidity Of Colorectal Cancer Using
Corey Pelz, MS 1995
Thesis: Analysis Of Survival Data: A Comparison Of Three Major Statistical Packages (SAS, SPSS, BMDP)