| 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 |
| 11/19/2018 |
NO SEMINAR-THANKSGIVING BREAK |
NO SEMINAR |
| 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 |
| 12/24/2018 |
NO SEMINAR-HOLIDAY BREAK |
NO SEMINAR |
| 12/31/2018 |
NO SEMINAR-HOLIDAY BREAK |
NO SEMINAR |
| 01/07/2019 |
NO SEMINAR |
NO SEMINAR |
| 01/14/2019 |
TBA |
|
| 01/21/2019 |
NO SEMINAR-Martin Luther King Day/University Closed |
NO SEMINAR |
| 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 |
| 03/04/2019 |
CANCELLED |
CANCELLED |
| 03/11/2019 |
Non-standard Problems in Statistical Inference: Bartlett Identity, Boundary, Identifiable Issues |
Yong Chen, University of Pennsylvania |
| 03/18/2019 |
SPRING BREAK |
NO SEMINAR |
| 03/25/2019 |
NO SEMINAR-ENAR Meeting in Philadelphia |
ENAR Meeting 24-27 |
| 03/28/2019 |
Fitting Nearly-true Models to Subsampled Data |
Thomas Lumley, University of Auckland |
| 04/01/2019 |
CANCELLED |
CANCELLED |
| 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 |
| 05/06/2019 |
TBA |
Student Forum (Elizabeth Colantuoni - Moderator) |
