Biostatistics Seminar Recordings
2022 Fall Seminars
September 22, 2022
Dr. Mike Wu from Fred Hutchinson Cancer Center presents: Keeping your Microbiome Analyses out of the Toilet: Batch Effects and Robust Testing
SEPTEMBER 20, 2022
Dr. David Benkeser from Emory University presents: Statistical learning for understanding whether and how vaccines work
2022 Winter Seminars
APRIL 14, 2022
Dr. Kasper Hansen from Johns Hopkins University presents: Universal prediction of cell-cycle position using transfer learning
APRIL 7, 2022
Dr. Rafael Irizarry from Harvard University presents: 25 Years of Data Science: From Music to Genomics
MARCH 31, 2022
Dr. Ruth Etzioni from Fred Hutchinson Cancer Research Center presents: Cancer screening at an inflection point: Methods and metrics for performance and outcomes of multi-cancer early detection (MCED) tests
January 27, 2022
Dr. Rebecca Hubbard from University of Pennsylvania presents: Something old, something new: Classical and modern approaches to addressing missingness in real-world data
JANUARY 11, 2022
Dr. F. William Townes from Princeton University presents: Nonnegative spatial factorization
2021 Fall Seminars
OCTOBER 21, 2021
Dr. Hongtu Zhu from University of North Carolina, Chapel Hill presents: Challenges in Biobank-scale Brain Imaging Genetics
SEPTEMBER 30, 2021
Donglin Zeng, PhD from University of North Carolina presents: Semiparametric Regression Analysis of Multivariate Interval-Censored Events
SEPTEMBER 23, 2021
Mark van der Laan, PhD, from University of California, Berkeley presents: Higher order Targeted Maximum Likelihood Estimation and its Applications in Causal Inference
SEPTEMBER 9, 2021
Wing Hung Wong, PhD from Stanford University presents: Roundtrip: a flexible approach to unsupervised analysis
2021 Winter Seminars
APRIL 15, 2021
Lorin Crawford, PhD from Microsoft Research New England and Brown University presents: Statistical Frameworks for Mapping 3D Shape Variation onto Genotypic and Phenotypic Variation
APRIL 1, 2021
Jessica Li, PhD from Department of Statistics at University of California, Los Angeles presents: Clipper: p-value-free FDR control on high-throughput data from two conditions
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.