Main ContentBiostatistics and Data Science Seminar Series
Sept. 7, 2023
Title: Subset Scanning For Multi-Trait Analysis Using GWAS Summary Statistics,
Speaker:Dr. Tianzhong Yang, assistant professor for the Division of Biostatistics and Pediatrics at University of Minnesota
April 5, 2023
Title: Bayesian Methods for Borrowing Historical Information with Applications to the Analysis of Large-Scale Assessments
Speaker: Dr. David Kaplan, Patricia Busk Professor of Quantitative Methods in the Department of Educational Psychology at the University of Wisconsin – Madison
March 22, 2023
Title: Building a Tech State of Mind
Speaker: Nashlie Sephus, principal tech evangelist at Amazon and founder/CEO of The Bean Path
February 1, 2023
Title: Maintaining Internal Validity in Community Partnered Participatory Research: Experience from the Community
Speaker: Thomas R. Belin, PhD
Professor and Vice Chair of Biostatistics at the University of California Los Angeles
November 17, 2022
Title: Canonical Correlation Analysis in High Dimensions with Structured Regularization
Speaker: Elena Tuzhilina, PhD
Assistant Professor of Statistical Sciences at the University of Toronto
November 3, 2022
Title: New Amalgamation-Based Methods for Microbiome Compositional Data Analysis
Speaker: Gen Li, PhD
Associate Professor of Biostatistics at the University of Michigan
October 20, 2022
Title: Identifying primary care practices with exemplar response to Medicare alternative payment models using individualized Bayesian Causal Forests (iBCF)
Speaker: Jennifer Starling, PhD
Statistician at Mathematica
October 6, 2022
Title: Vulnerabilities of Deep Learning and Robust Deep Ensemble
Speaker: Bowei Xi, PhD
Associate Professor of Statistics, Purdue University
September 22, 2022
Title: Novel Composite Desirability of Outcome Ranking Approach for Patient-Centered Evaluation of Overall Treatment Benefits
Speaker:Ying Lu, PhD
Professor of Biomedical Data Science, Stanford University
September 8, 2022
Title: Functional Data Analysis: Novel Statistical Methods and Applications in Alzheimer’s Disease Research
Speaker: Sheng Luo, PhD
Professor of Biostatistics & Bioinformatics, Duke University