Daniel H.J. Kang: “Efficient Bayesian Adaptive Designs for Oncology Clinical Trials with Multiple Biomarker Subgroups” (Advisors: Christopher Coffey and Jun “Vivien” Yin) Upon Graduation: Mathematical Statistical Reviewer, FDA
Collin T. Nolte: “What You See is What You Get: A Closer Look at Bias in the Visual World Paradigm” (Advisor: Patrick Breheny) Upon Graduation: Assistant Professor of Statistics, Grinnell College
Félix Pabón-Rodríguez: “Bayesian Approaches to Within and Between Host Models for Infectious Disease Processes” (Advisor: Grant Brown) Upon Graduation: Assistant Professor, Department of Biostatistics and Health Data Science, Indiana University School of Medicine
Matthew L. Davis: “Thompson Sampling with Smoothing Splines for Hyperparameter Optimization: A Tuning Algorithm that Doesn’t Need Tuning” (Advisor: Brian J. Smith) Upon Graduation: Biostatistician, Medpace (CRO)
Scott H. Koeneman: “Probability Distribution Informed Extensions for Classical Model Selection Methods: Moving Beyond the “Rule of 2″” (Advisor: Joseph Cavanaugh)
2021-22
Nicholas J. Seedorff: “Advancing Flexible Methods for Interpretation and Forecasting of Correlated Data” (Advisor: Grant D. Brown) Upon Graduation: Dr. Seedorff is a Data Scientist at Meta
Elliot L. Burghardt: “Agglomerative and Divisive Hierarchical Bayesian Clustering with Methods for Longitudinal and Time-to-Event Data.” (Advisors: Joseph Cavanaugh and Daniel Sewell) Upon Graduation: Residency in Plastic Surgery Oregon Health & Science University, Portland
Monica L. Ahrens: “Simultaneous Bands for Event Time Percentiles in Cox Models with an Extension to Recurrent Events” (Advisor: Gideon K.D. Zamba) Upon Graduation: Dr. Ahrens is a Research Scientist in the Center for Biostatistics and Health Data Science at Virginia Tech University.
Melissa N.Jay: “Bayesian methods for estimation and mediation in disease mapping applications” (Advisor: Jacob Oleson) Upon Graduation: Dr. Jay is an Assistant Professor of Biostatistics, University of Alabama-Birmingham.
Zhuangzhuang Liu: “Assessing the Bivariate Time-Varying Association Between Two Binary Variables Measured at Different Times in a Longitudinal Study” (Advisor: Hyunkeun “Ryan” Cho) Upon Graduation: Dr. Liu is a Senior Statistician at AbbVie, Inc.
2020-21
Alexandra M. Curtis: “Subgroup-Specific Dose Finding Using Bayesian Clustering in Phase I-II Clinical Trials” (Advisor: Brian J. Smith) Upon Graduation: Dr. Curtis is a research scientist at Eli Lilly and Company.
Javier E. Flores: “A New Class of Information Criteria for Improved Prediction in the Presence of Training/Validation Data Heterogeneity” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Flores is Data Scientist with Pacific Northwest National Labs in Richland, Washington.
Caitlin E. Ward: “Bayesian Methods for Spatio-temporal Epidemic Models to Accurately Capture Complex Dynamics of Disease Spread” (Advisors: Grant Brown and Jacob J. Oleson) Upon Graduation: Dr. Ward is a postdoctoral fellowship at the University of Calgary.
Anna C. Reisetter: “Penalized Linear Mixed Models for Structured Genetic Data” (Advisor: Patrick Breheny) Upon Graduation: Dr. Reisetter is a research scientist at Eli Lilly and Company.
2019-20
Biyue Dai: “Projection-based Inference and Model Selection for Penalized Regression” (Advisor: Patrick J. Breheny) Upon Graduation: Dr. Dai is a research scientist at Eli Lilly and Company.
Anne E. Welhaven: “Pacing Modification by Incorporation of Lag in Early Phase Designs” (Advisors: Christopher S. Coffey and Eric D. Foster) Upon Graduation: Dr. Welhaven is a biostatistician at AbbVie, Inc.
Brandon D. Butcher: “MCMC Diagnostics for Bayesian Additive Regression Trees and Methods for Flexible Modeling of Predictors” (Advisor: Brian J. Smith) Upon Graduation: Dr. Butcher is a statistical scientist at Genentech.
2018-19
Qing Li: “A Two-stage Pseudo-likelihood Approach to Estimation and Inference for Alternating Recurrent Events Data” (Advisor: Gideon K.D. Zamba) Upon Graduation: Dr. Li is a Senior Statistician at Takeda Pharmaceuticals.
Marie V. Ozanne: “Bayesian Compartmental Models for Zoonotic Visceral Leishmaniasis in the Americas” (Advisors: Grant D. Brown and Jacob J. Oleson) Upon Graduation: Dr. Ozanne is assistant professor, Department of Mathematics and Statistics, Mount Holyoke College.
Ryan A. Peterson: “Ranked Sparsity: A Regularization Framework for Selecting Features in the Presence of Prior Informational Asymmetry” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Peterson is assistant professor, Department of Biostatistics and Informatics, University of Colorado-Denver.
2017-18
Janel K. Barnes: “Regression and Boosting Methods to Inform Precisionized Treatment Rules Using Data from Crossover Studies ” (Advisor: Jeffrey D. Dawson) Upon Graduation: Dr. Barnes is an assistant research scientist in the University of Iowa, Department of Biostatistics, Clinical Trials Statistical Data Management Center.
Yiyue Lou: “Principal Stratification: Applications and Extensions in Clinical Trials with Intermediate Variables” (Advisor: Michael P. Jones) Upon Graduation: Dr. Lou is a senior biostatistician at Vertex Pharmaceuticals.
Yaohui Zeng: “Scalable Sprase Machine Learning Methods for Big Data” (Advisor: Patrick J. Breheny) Upon Graduation: Dr. Zeng is a quantitative analyst at Google.
Monelle Tamegnon: “Avoiding the Redundant Effect on Regression Analyses of Including an Outcome in the Imputation Model” (Advisors: Michael P. Jones and Gideon K.D. Zamba) Upon Graduation: Dr. Tamegnon is a biostatistician for Johnson and Johnson.
Michael Seedorff: “Methods for Testing for Group Differences in Highly Correlated, Nonlinear Eyetracking Data” (Advisors: Jacob J. Oleson and Bob McMurray) Upon Graduation: Dr. Seedorff is a quantitative analyst at Google.
Natalie R. Langenfeld: “A Novel Sequential ABC Algorithm with Applications to the Opioid Epidemic Using Compartmental Models” (Advisor: Grant D. Brown) Upon Graduation: Dr. Langenfeld is a biostatistician for Nestlé Purina North America
Benjamin N. Riedle: “Probabilistic Pairwise Model Comparisons Based on Discrepancy Measures and a Reconceptualization of the p-Value” (Advisors: Joseph E. Cavanaugh and Andrew A. Neath) Upon Graduation: Dr. Riedle is a research scientist at Eli Lilly and Company.
Ryan E. Miller: “Marginal False Discovery Rate Approaches to Inference on Penalized Regression Models” (Advisor: Patrick J. Breheny) Upon Graduation: Dr. Miller is an assistant professor at Grinnell College.
2016-17
Hongqian Wu: “Proportional Likelihood Ratio Mixed Model for Longitudinal Discrete Interval Data” (Advisor: Michael P. Jones) Upon Graduation: Dr. Wu is a Sr. Biostatistician at Novartis Oncology
Lixi Yu: “Regularized Efficient Score Estimation and Testing (RESET) Approach in Low-Dimensional and High-Dimensional GLM” (Advisor: Jian Huang) Upon Graduation: Dr. Yu is a statistician at Phastar.
Benjamin E. Deonovic: “MCMC Sampling Methods for Binary Variables with Application to Haplotype Phasing and Allele Specific Expression” (Advisor: Brian J. Smith) Upon Graduation: Dr. Deonovic is a research scientist at American College Testing (ACT)
Keyla Pagán-Rivera: “Improved Adjustment for Covariate Measurement Error in Radon Studies: Alternatives to Regression Calibration” (Advisor: Brian J. Smith) Upon Graduation: Dr. Pagán-Rivera is a Research Staff Member at the Institute for Defense Analyses.
Andrew Ghattas: “Medical Imaging Segmentation Assessment via Bayesian Approaches to Fusion, Accuracy, and Variablity Estimation with Application to Head and Neck Cancer” (Advisor: Brian J. Smith) Upon Graduation: Dr. Ghattas is a Consumer Behavior Modeler, Bank of America, Charlotte, NC
David Zahrieh: “Bayesian Point Process Modeling to Quantify Excess Risk in Spatial Epidemiology: An Analysis of Stillbirths with a Maternal Contextual Effect” (Advisor: Jacob J. Oleson) Upon Graduation: Dr. Zahrieh is a research scientist at the Mayo Clinic-Rochester
2015-16
Melissa A. Pugh: “A Bayesian Approach to Detect Time-specific Group Differences Between Nonlinear Temporal Curves” (Advisor: Jacob J. Oleson) Upon Graduation: Dr. Pugh is a Research Scientist (Neuroscience Group), Eli Lilly, Inc.
John M. VanBuren: “Integrating Independent Spatio-Temporal Replications to Assess Population Trends in Disease Spread” (Advisor: Jacob J. Oleson) Upon Graduation: Dr. VanBuren is an Assistant Professor, Department of Pediatrics-Division of Critical Care, University of Utah
Wenjing Lu: “Monotone Spline-Based Nonparametric Estimation of Longitudinal Data with Mixture Distributions” (Advisors: Jeffrey Long and Ying Zhang) Upon Graduation: Dr. Lu is a senior research statistician at AbbVie
Fan Tang: “Structural Time Series Clustering, Modeling and Forecasting in the State-Space Framework” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Tang is a biostatistician with Genentech
Ke Liu: “A Joint Model of an Internal Time-Dependent Covariate and Bivariate Time-To-Event Data in Frequentist Paradigm with an Application to MD STARnet Data” (Advisors: Paul Romitti and Ying Zhang) Upon Graduation: Dr. Liu is Sr. Biostatistician at Gilead Sciences
Patrick P. Ten Eyck: “Problems in Generalized Linear Model Selection and Predictive Evaluation For Binary Outcomes” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Ten Eyck is Assistant Director for Biostatistics and Research Design, Institute for Clinical and Translational Science (ICTS), University of Iowa.
2014-15
Grant D. Brown: “Application of Heterogeneous Computing Techniques to Compartmental Spatiotemporal Epidemic Models” (Advisor: Jacob J. Oleson) Upon Graduation: Dr. Brown is an Assistant Professor in the Department of Biostatistics, University of Iowa.
Spencer G. Lourens: “Bias in Mixtures of Normal Distributions and Joint Modeling of Longitudinal and Time-to-event Data with Monotonic Change Curves” (Advisors: Jeffrey Long and Ying Zhang) Upon Graduation: Dr. Lourens is a Visiting Assistant Professor, Department of Biostatistics, Indiana University
Mitchell A. Thomann, “The Flexible Bivariate Continual Reassessment Method ” (Advisors: Christopher S. Coffey and Eric D. Foster) Upon Graduation: Dr. Thomann is an Research Scientist in Biometrics and Advanced Analytics, Eli Lilly, Inc.
2013-14
Amy M. Johnson: “Modeling Time Series Data with Semi-Reflective Boundaries” (Advisor: Jeffrey D. Dawson) Upon Graduation: Dr. Johnson is an Assistant Professor (Research), Department of Internal Medicine, University of Iowa
Knute D. Carter: “Best-Subset Model Selection Based on Multitudinal Assessments of Likelihood Improvements” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Carter is an Adjunct Assistant Professor of Biostatistics and a Research Scientist, Center for Public Health Statistics, University of Iowa
Vivien (Jun) Yin: “Bayesian Statistical Modeling of Epidemics and the Contact Networks that Transmit Them” (Advisor: Brian J. Smith). Upon Graduation: Dr. Yin is Assistant Professor of Biostatistics, Mayo Clinic-Rochester
2012-13
Eric D. Foster: “State-Space Time Series Clustering Using Discrepancies Based on the Kullback-Leibler Information and Mahalanobis Distance” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Foster is an Assistant Professor of Biostatistics, University of Iowa.
Shihao Shen: “Statistical Models for RNA Sequencing” (Advisors: Yi Xing and Jian Huang) Upon Graduation: Dr. Shen is Assistant Researcher, Department of Microbiology, Immunology, & Molecular Genetics, UCLA.
Elizabeth Dastrup Mills: “Adjusting for Covariates in Zero-Inflated Gamma and Zero-Inflated Log-Normal Models for Semicontinuous Data” (Advisor: Jeffrey D. Dawson)
Stephanie A. Kliethermes: “A Bayesian Nonparametric Approach to Modeling Longitudinal Growth Curves with Non-normal Outcomes” (Advisor: Jacob J. Oleson) Upon Graduation: Dr. Kliethermes is the Research Director, American Medical Society of Sports Medicine.
Tao Zhang: “Discrepancy-Based Algorithms for Best-Subset Model Selection” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Zhang is a Senior Biostatistician at Boehringer Ingelheim, China.
2011-12
C. Laura Acion: “Criteria for Generalized Linear Model Selection Based on Kullback’s Symmetric Divergence” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Acion is an Associate Research Scientist, Department Psychiatry, University of Iowa.
Mijin Jang: “Working Correlation Selection in GEE” (Advisor: Jane F. Pendergast) Upon Graduation: Dr. Jang is Assistant Vice President (Sr. Statistical Modeler), JPMorgan Chase, Chicago.
Diqiong Xie: “Bias and Variance Estimators of Average Treatment Effect Using Propensity-score Matching” (Advisor: Michael P. Jones) Upon Graduation: Dr. Xie is a biostatistician in the Office of Translational Sciences, Center for Drug Evaluation and Research (CDER), FDA
Gang Cheng: “The Nonparametric Least-Squares Method for Estimating Monotone Functions with Interval-Censored observations” (Advisor: Ying Zhang) Upon Graduation: Dr. Cheng is a Senior Biostatistician at Boehringer Ingelheim, China.
Dingfeng Jiang: “Concave Selection in Generalized Linear Models” (Advisor: Jian Huang) Upon Graduation: Dr. Jiang is a statistician at AbbVie.
Aaron T. Porter: “A Path-Specific Approach to SEIR Modeling” (Advisor: Jacob J. Oleson) Upon Graduation: Dr. Porter is an Assistant Professor in the Department of Applied Mathematics & Statistics, Colorado School of Mines
Jingyang Zhang: “Making Diagnosis with Multiple Tests Under No Gold Standard” (Advisors: Kathryn Chaloner and Ying Zhang). Upon Graduation: Dr. Zhang is a Staff Scientist at Fred Hutchinson Cancer Research Center.
Ming Yang: “Statistical Models for Count Time Series with Excess Zeros” (Gideon K.D. Zamba and Joseph E. Cavanaugh) Upon Graduation: Dr. Yang is a Research Associate, Center for Biostatistics in AIDS Research, Harvard University.
2010-11
Li Liu: “Grouped Variable Selection in High-Dimensional Partially Linear Additive Cox Model” (Advisor: Jian Huang) Upon Graduation: Dr. Liu is a biostatistician at Abbvie.
Yu-Hui Huang Chang: “Adaptive Designs for Dose Response Studies” (Advisor: Kathryn Chaloner) Upon Graduation: Dr. Chang is a Research Associate, Mayo Clinic Arizona.
Lei Hua: “Spline-Based Sieve Semiparametric Generalized Estimating Equation for Panel Count Data” (Advisor: Ying Zhang) Upon Graduation: Dr. Hua is Senior Biostatistician at Vertex Pharmaceuticals, Inc.
2009-10
Patrick J. Breheny: “Regularized Methods for High-dimensional and Bi-level Viable Selection” (Advisor: Jian Huang) Dr. Breheny is an Associate Professor of Biostatistics, University of Iowa.
JonDavid Sparks: “Model Selection Criteria in the Presence of Missing Data Based on the Kullback Discrepancy” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Sparks is a statistician at Eli Lilly and Company.
Qian Shi: “Bayesian Methods of Evaluation and Use of Surrogate Endpoints in the Single-Trial Settings” (Advisors: M. Kathryn Cowles and Kathryn Chaloner) Dr. Shi is an Associate Professor, Department of Health Science Research, Mayo Clinic.
Suhong Zhang: “Inference on Association Measure in Copula Model for Bivariate Survival Data with Hybrid Censoring and Application to a HIV Study” (Advisors: Kathryn Chaloner and Ying Zhang) Upon Graduation: Dr. Zhang is a biostatistician in the Cardiac Rhythm Management Division, St. Jude Medical Center, Sylmar, CA.
Emine Ozgur Bayman: “Bayesian Hierarchical Models for Multi-Center Clinical Trials: Power and Subgroup” (Advisors: Kathryn Chaloner and M. Kathryn Cowles) Upon Graduation: Dr. Bayman is an Associate Professor of Anesthesia, University of Iowa.
Yiyi Chen: “Optimal Adaptive Group Sequential Design for Phase II Clinical Trials: a Bayesian Decision Theoretic Approach” (Advisor: Brian J. Smith) Upon Graduation: Dr. Chen is an Assistant Professor in the Department of Public Health & Preventive Medicine, Oregon Health & Science University.
2006-07
Maria C. B. Mendoza: “Case-deletion Diagnostics for Multipoint Quantitative Trait Locus Linkage Analysis” (Advisors: Michael P. Jones and Trudy Burns) Upon Graduation: Dr. Mendoza is a biostatistician at the National Center for Toxicological Research.
Minggen Lu: “Analysis of Panel Count Data Using Monotone Polynomial Splines” (Advisors: Ying Zhang and Jian Huang) Upon Graduation: Dr. Lu is an Associate Professor in the School of Community Health Sciences, University of Nevada-Reno.
Zugui Zhang: “Model Selection for Nearly Replicated Data Based on Conceptual Predictive Statistics” (Advisor: Joseph E. Cavanaugh) Upon Graduation: Dr. Zhang is Sr. Biostatistician, Christiana Care Health System, Delaware.
Huaming Tan: “Variable Selection and Estimation in the Partially Linear AFT Model” (Advisor: Jian Huang) Upon Graduation: Dr. Tan is Director of Biostatistics at Pfizer.
2005-06
Bongin Yoo: “Estimation and Design Considerations in the Mixed Effects Cox Regression Model” (Advisor: Michael P. Jones) Upon Graduation: Dr. Yoo is Senior Research Biostatistician, Bristol-Myers Squibb.
Wei Zhang: “Analysis of Doubly Censored Survival Data with Applications to GBV-C and HIV Studies” (Advisors: Kathryn Chaloner and Ying Zhang) Upon Graduation: Dr. Zhang is Regional Head of Biometrics and Data Management, Asia/MENA, Boehringer Ingelheim Pharameceutials.
Kwang-Youn A. Kim: “Statistical Methods for Detecting Positional Correlation of Expression and Genetic Interactions with eQTL Data” (Advisors: Jian Huang and Val Sheffield) Upon Graduation: Dr. Kim is an Assistant Professor, Feninberg School of Medicine, Northwestern University.
2004-05
Deli Wang: “Robust Estimation of a Two-way Semilinear Model with Applications to Microdata Normalization and Analysis” (Advisor: Jian Huang) Upon Graduation: Dr. Wang is a research statistician at Abbott Laboratories.
Xinqun Yang: “The Posterior Probability of Linkage Allowing for Linkage Disequilibrium and a New Estimate of Disequilibrium between a Trait and a Marker ” (Advisors: Jian Huang and Veronica Vieland) Upon Graduation: Dr. Yang is a Senior Manager, Biostatistics at Amgen.
Xian-Jin Xie: A Goodness-of-Fit Test for Logistic Regression Models with Continuous Predictors” (Advisors: William R. Clarke and Jane F. Pendergast) Upon Graduation: Dr. Xie is a Professor in the Department of Clinical Sciences, Simmons Comprehensive Cancer Center, University of Texas-Southwestern.
2002-03
Wenquan Wang: “Estimating and Testing Treatment Effects on Two Binary Endpoints and Association Between Endpoints in Clinical Trials” (William R. Clarke and Robert F. Woolson) Upon Graduation: Dr. Wang is Senior Manager, Biostatistics, Eisai, Inc.
2001-02
Farideh Dehkordi-Vakil: “A Bayesian Method for Estimating Smooth Monotone Functions” (Advisor: Geroge Woodworth) Upon Graduation: Dr. Dehkordi-Vakil is an Associate Professor of Decision Sciences, Western Illinois University.
Sheela Kolluri: “A Model for Longitudinal Poisson Count Data with Informative Dropout” (Advisor: Michael P. Jones) Upon Graduation: Dr. Kolluri is a biostatistician, Pfizer-Groton Laboratories.
Chandan Saha: “Quantifying the Asymptotic Bias in the Linear Mixed-Effects Model Under Informative Dropout, Drop-In and Other Missing Data Patterns” (Advisor: Michael P. Jones) Upon Graduation: Dr. Saha is Associate Professor of Biostatistics, Indiana University School of Medicine.
Brian J. Smith: “A Bayesian Framework for Analyzing Exposure Data from the Iowa Radon Lung Cancer Study” (Advisor: M. Kathryn Cowles) Dr. Smith is Professor of Biostatistics, University of Iowa.
Jeff M. Allen: “Frequentist Performance of Bayesian Models for Bivariate Longitudinal Data with Two Informative Drop-Out Times” (Advisors: M. Kathryn Cowles and Michael P. Jones) Upon Graduation: Dr. Allen is a statistician at American College Testing (ACT).