Past Seminars
2018-2019 Seminar Series
2018-2019 Monday Seminar Series
| DATE | TITLE | SPEAKER |
|---|---|---|
| 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 |