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.
Meet Our Students
|Katherine (Alex) Knutson|
|Jun Young Park|
Upcoming Student Presentations
There are no upcoming events at this time.
Recent Student Presentations
|Brett Peterson||Jim Neaton||Quantifying the Effect of Centralized Data Cleaning and On-Site Monitoring on the Findings from a Randomized Study|
|Yanan Ren||Haitao Chu||Performance of Meta-Analysis Methods with Rare Events Using the Cochrane Systematic Reviews|
|Katie Casty||Joe Koopmeiners||Estimating the Classification Accuracy of Biomarkers of Compliance in Studies of Very Low Nicotine Content Cigarettes|
|Cynthia Basu||Brad Carlin||Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials|
|Alex Kaizer||Joe Koopmeiners||Bayesian Hierarchical Modeling based on Multi-Source Exchangeability|
|Jeff Boatman||David Vock and Joe Koopmeiners||Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error|
|Caroline Groth||Sudipto Banerjee and Gurumurthy Ramachandran||Bayesian Models for Analyzing Worker Exposure to Airborne Chemicals During the Deepwater Horizon Oil Spill Cleanup and Response|
|Xiaoyue Zhao||Dipankar Bandyopadhyay and Lynn Eberly||Bayesian Modeling and Inference for Asymmetric Responses with Applications|
|Ben Brown||Julian Wolfson and Wei Pan||Variable Selection and Prediction in “Messy” High-Dimensional Data|
|Kristine Kubisiak||Lynn Eberly||Penalized Models on Non-conventional MRI Contrasts to Detect Subtle Abnormalities in White and Grey Matter in Multiple Sclerosis|
|Kusha Mohammadi||Joe Koopmeiners||Combining Data from a Phase I-II dose Escalation Study and a Follow-up Cohort for More Efficient Estimation|
|Nathan Rubin||Lynn Eberly||Identifying Impaired Awareness of Hypoglycemia in Type 1 Diabetics|