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Past Seminars

2018-2019 Seminar Series

2018-2019 Monday Seminar Series

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

Past Seminar Schedules

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