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Past Seminars

2018-2019 Noon Seminar Series

9/10/2018 Instrumental Variables Estimation of Mann-Whitney Causal Effect in Randomized Trials with Non-Compliance  Lu Mao, University of Wisconsin
09/17/2018 Flexible Modeling of Incomplete Multivariate Data for Inference, Imputation and Prediction  Joseph Schafer, U.S. Census Bureau
09/24/2018 Analyzing Mutual Exclusivity of Somatic Mutations in Tumor Sequencing Studies  Jianxin Shi, Division of Cancer Epi & Genetics, National Cancer Instiute
10/01/2018 A Post-Hoc Evaluation of a Sample Size Re-Estimation: The SPS3 Experience Leslie McClure, Drexel University
10/03/2018 Probabilistic Projection of Carbon Emissions Adrian Raftery, University of Washington
10/08/2018 A New Look at Bayes Factor and its Implication on Bayes Model Selection Jason Liao, Penn State University
10/15/0218 A New Predictive Paradigm for Subset Analysis of Randomized Clinical Trials Rich Simon, R. Simon Consulting
10/22/2018 Bipartite Causal Inference with Interference: Estimating Health Impacts of Power Plant Regulations Cory Zigler, Harvard University
10/29/2018 Biostatistics Seminar - Meeting Schedule Xihong Lin, Harvard University
11/05/2018 Learning From the Transcriptome: Analysis of Single Cell and Bulk RNA Sequence Data Kathryn Roeder, Carnegie Mellon
11/12/2018 Introducing the Overlap Weights to Casual Inference Fan Li, Duke University
11/26/2018 Musings on Statistical Models vs. Machine Learning in Health Research Frank Harrell Jr., Vanderbilt School of Medicine
12/03/2018 Neuroimaging for the Treatment of Aphasia Chris Rorden, University of South Carolina
12/10/2018 The Stratified Micro-randomized Trial Design: Sample Size Considerations for Testing Nested Causal Effects of Time-varying Treatment Walter Dempsey, Harvard University
12/17/2018 Statistical Analysis for Inferring the Timing of Gene Duplications Snehalata Huzurbazar, West Virginia University
01/28/2019 Hospital Profiling for Quality of End-of-life Care via Semi-competing Risks Analysis Sebastien Haneuse, Harvard School of Public Health
02/04/2019 Redefining our Understanding of Disease, Outcome, Phenotype and the Impact of Genetic Architecture through Electronic Health Records Sarah A. Pendergrass, Biomedical & Translation Informatics Institute, Geisinger Research
02/11/2019 Estimation and Analysis of EHR-derived Phenotypes Rebecca Hubbard, Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania School of Medicine
02/18/2019 A Machine Learning Approach to Causal Inference in the Presence of Missing Data Xiaochun Li, Department of Biostatistics, School of Medicine, Fairbanks School of Public Health, Indiana University
02/25/2019 What Your Electronic Health Data Won't Tell You...But I Will Sherri Rose, Harvard 
03/11/2019 Non-standard Problems in Statistical Inference: Bartlett Identity, Boundary, Identifiable Issues Yong Chen, University of Pennsylvania
03/28/2019 Fitting Nearly-true Models to Subsampled Data Thomas Lumley, University of Auckland
04/08/2019 Predicting Inpatient Deterioration: From Quality Improvement to Research (a Story in 5 Acts) Ben Goldstein, Dept. of Biostatistics & Bioinformatics, Duke University
04/15/2019 Aligning Estimands and Their Estimators - A Case Study Dr. Elena Polverejan
04/22/2019 Bridging the Gap Between Noisy Healthcare Data and Knowledge: Causality and Portability Dr. Xu Shu, Department of Biostatistics, Harvard TH Chan School of Public Health
04/29/2019 Discovery and Delivery: Data Science to Improve Health Outcomes at More Affordable Costs. A Panel Discussion about Hopkins inHealth Precision Medicine Dr. Scott Zeger, Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics

Past Seminar Schedules

  2020-2021 | 2019-2020 | 2016-2017