Biostatistics students in both the Masters and PhD programs are immersed in the division, assisting on high-impact national and international research projects, supporting the Division’s course offerings, and conducting their own research. Our students work closely with faculty advisers; with a student-to-faculty ratio that is one of the lowest among leading Biostatistics programs, students are able to get the training and personal attention they need to maximize their potential.
Students are actively involved in organizing both academic and social activities. The Student Seminar Series provides an opportunity to present and discuss work in progress, practice presentations for upcoming conferences, and learn new computing skills. Student seminars are typically closed to faculty. For a list of upcoming and previous student seminar presentations as well as other student resources, visit our 2019-2020 Biostatistics Student Seminar page.
Meet Our Students
|Katherine (Alex) Knutson|
|Jun Young Park|
|Yoon Son Ahn|
|Yating (Flora) Wang|
Upcoming Student Presentations
There are no upcoming events at this time.
Recent Student Presentations
|Torri Simon||Lin Zhang||Identifying Differentially Expressed Proteins Using Peptide-Level Data: An Application of Multiple Methods|
|Jun Young Park||Mark Fiecas||Permutation-based Inference for Spatially Localized Signals in Longitudinal MRI Data|
|Xue Gong||Thomas Murray||A Hierarchical Testing Procedure for Settings with Binary Outcomes and Potential Treatment Effect Heterogeneity Across Pre-Defined Strata|
|Qiuyu Yang||Chap Le||Comparison of Propensity Score Methods for Observational Studies to Conventional Regression Analysis|
|Trang Le||Mark Fiecas||Bayesian Spectral Estimation and Test-retest Reliability of Low-frequency Oscillation Amplitudes in Resting-state fMRI|
|Siyang Ren||Julian Wolfson||Exploring Daily Activity Patterns from Mobile Phone Data|
|Tushar Patni||Erika Helgeson||Comparing Levenshtein and Euclidean Distances for Clustering Time Use Data|
|Meredith Hyun||Thomas Murray||Postoperative Patient Outcomes Following Left Ventricular Assist Device Implantation: An Application Format for the Minnesota Pectoralis Risk Score Predicting Patient Mortality, and A Cross-Validated Logistic Regression Model for Predicting Early Postoperative Severe Right Heart Failure|
|Shengwei Zhang||Haitao Chu & Xianghua Luo||A Bayesian Hierarchical Model for Meta-Analysis of Demand Curves|
|Tingyang Zhou||Lynn Eberly||Functional Data Analysis on Magnetic Resonance Spectroscopy Data of Spinocerebellar Ataxias|
|Jin Jin||Joseph Koopmeiners & Lin Zhang||Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI Data|
|Menglu Liang||Haitao Chu||Bayesian Network Meta-analysis of Multiple Outcomes in Dental Research|