Biostatistics Seminar Recordings
2021 Winter Seminars
March 23, 2021
Holly Hartman, MS - PhD Candidate Department of Biostatistics, University of Michigan presents: Utilizing a Mapping Function in a Small Sample, Sequential, Multiple Assignment, Randomized Trials with Continuous Outcomes
MARCH 18, 2021
Konrad Körding, PhD from University of Pennsylvania Perelman School of Medicine presents: Machine learning for quasi experiments and neuroscience
MARCH 11, 2021
Layla Parast, PhD Senior Statistician from RAND Corporation presents: Robust methods to correct for measurement error when evaluating a surrogate marker
MARCH 4, 2021
Susan Holmes, PhD from Stanford University presents: Statistical challenges in the analyses of the human microbiome
February 22, 2021
Holly Hartman, MS presents: Examining Algorithmic Fairness and Why It's Important
February 4, 2021
Dr. Tamara Broderick from Massachusetts Institute of Technology presents: An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?
January 21, 2021
Dr. Smita Krishnaswamy from Yale University presents: Geometric and Topological Approaches to Representation Learning in Biomedical Data
2020 Fall Seminars
November 12, 2020
Dr. Alfred Hero from The University of Michigan presents: Learning to Benchmark
October 8, 2020
Dr. Joseph Hogan from Brown University presents: Bayesian causal inference for the HIV care cascade
October 1, 2020
Dr. Michael Kosorok from University of North Carolina - Chapel Hill presents: Recent Developments and Future Possibilities in Precision Health
September 17, 2020
Dr. Art Owens from Stanford University presents: Backfitting for large scale crossed random effects regressions
September 10, 2020
Dr. Gen Li presents: It's all Relative: New Regression Paradigms for Microbiome Compositional Data
Department Town Hall - Impact
October 23, 2020
2020 Summer Seminars
July 30, 2020
Dr. Yi Li presents: Estimation of time-varying reproduction numbers underlying the COVID-19 pandemic.
August 20, 2020
Dr. Roderick Little presents: On XL Meng's Law of Large Populations.