Distinguished Speaker Series

2017 - Scott Zeger, PhD
Professor of Biostatistics
Bloomberg School of Public Health
Johns Hopkins University


3:00pm Monday, Oct. 2, 2017 - Bayesian Hierarchical Models to Improve Clinical and Public Health Decisions.  Hock Auditorium, Ground Floor
12:00 Tuesday, October 3, 2017: Population and Individualized Health (Precision Medicine);Two sides of the Same CoinDCRI, North Pavilion, Lower Lecture Hall

2016 - Andrew Gelman, PhD 
Professor of Statistics and Political Science
Director of the Applied Statistics Center
Columbia University


3:00pm Oct. 6, 2016 Session 1: The Statistical Crisis in Science - Hock Plaza Auditorium, Ground Floor

12:00pm Oct. 7, 2016 Session 2: Taking Bayesian Inference Seriously - North Pavillion Lower Level Lecture Hall

2015 - Ross Prentice, PhD
Member and former Director of the Public Health Sciences Division
Fred Hutchinson Cancer Research Center
Professor of Biostatistics
University of Washington


Session 1: Multivariate Failure Time Data Analysis Methods        

Session 2: The Women’s Health Initiative: History, Contributions and On-going Research

2014 - Nan M. Laird, PhD
Professor of Biostatistics
Harvard School of Public Health
Harvard University


Session 1: Family Designs in the Genetic Association Analysis

Session 2: Meta Analysis Heterogenity can be a Good Thing

2013 – Bradley Efron, PhD
Professor of Statistics
Stanford University



Session 1:  A 250 Year Argument (Belief, Behavior and the Bootstrap)

Session 2: Bayesian and Frequentist Issues in Large-Scale Inference

2012 - Stuart J. Pocock, PhD, MD
Professor of Medical Statistics
London School of Hygiene and Tropical Medicine



Session 1: Current Controversies in Data Monitoring of Clinical Trials including Adaptive Design

Session 2: Interpretation of Composite Endpoints in Clinical Trials, and Proposals for Improvement

2011 – Frank E. Harrell, Jr. PhD
Professor and Chair
Department of Biostatistics
Vanderbilt University


Session 1: Statistical Workshop of Reproducible Research

Session 2: Predictive Modeling Roadmap

Session 3: Sensitivity, Specificity, and Useful Measures of Diagnostic Utility