Leading biostatisticians and scholars are featured in our weekly department seminar series which covers a wide range of topics, issues and methods relevant to the field of biostatistics.
Seminars are usually held Thursdays from 3:30-5:00 p.m. PST unless otherwise listed. Check our Calendar for upcoming lectures.
Recent Recordings
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Attaching numbers to Y-chromosome forensic profiles presented June 1 by Bruce Weir, Professor, Biostatistics; Adjunct Professor, Genome Sciences; Adjunct Professor, Epidemiology; Director, Summer Institute in Statistical Genetics; Director, Institute for Public Health Genetics; University of Washington
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Selective Inference using Randomized Group LASSO Estimators presented May 25 by Snigdha Panigrahi, PhD, Assistant Professor of Statistics, University of Michigan
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Polygenic Risk Scores: Algorithms, Fairness and Applications presented May 19 by Nilanjan Chatterjee, PhD, Bloomberg Distinguished Professor of Biostatistics and Genetic Epidemiology, Johns Hopkins University
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Estimating the false discovery rate of model selection presented May 11 by Will Fithian, PhD, Associate Professor, Statistics, University of California, Berkeley
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Reimagining research training through holistic data science education presented May 3 by Carrie Wright, PhD, Senior Staff Scientist. Fred Hutchinson Cancer Center and Affiliate Faculty, Johns Hopkins Bloomberg School of Public Health
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Generalized Data Thinning Using Sufficient Statistics presented April 20 by Jacob Bien, PhD, Associate Professor of Data Sciences and Operations; Dean’s Associate Professor in Business Administration, University of Southern California
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Microsimulation Models: Calibration, Application, and Future Directions presented April 13 by Carolyn Rutter, PhD, Professor, Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center and Professor Hutchinson Institute for Cancer Outcomes Research (HICOR)
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Nonparametric inference on non-negative dissimilarity measures at the boundary of the parameter space presented April 6 by Aaron Hudson, PhD, Assistant Professor, Biostatistics, Bioinformatics and Epidemiology Program, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center
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Balancing Weights for Offline Reinforcement Learning presented March 20, 2023, by Raymond Wong, PhD, Associate Professor, Department of Statistics, Texas A&M University
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