Past Event
BHDS Plan B Presentation with Jiaying Dong
Join us for this presentation titled "Evaluating Martingale and Counting Process-Based Covariance and Correlation Estimators for Multivariate Survival Data".
Past Event
Join us for this presentation titled "Evaluating Martingale and Counting Process-Based Covariance and Correlation Estimators for Multivariate Survival Data".
Past Event
Join us for this seminar titled "Estimating Interactions in Chemical Mixtures: Case Studies from Cancer Epidemiology."
Past Event
Join us for this BDHS seminar presented by Li Chen, Department of Biostatistics, University of Florida.
Past Event
Join us for this seminar on "Object-on-Object Regression".
Past Event
BDHS Seminar presented by Abhirup Datta, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Past Event
Attend our session to learn more about our distinct degrees in Biostatistics & Health Data Science (MPH, MS or PhD).
Past Event
Join us for this BDHS Seminar Presented by Yize Zhao.
Past Event
Attend our session to learn more about our distinct degrees in Biostatistics (MS or PhD).
Past Event
Biostatistics and Health Data Science seminar presented by Wei Sun.
Past Event
Join us for this seminar presented by Iuliana Ionita-Laza
Past Event
Join us for this BDHS seminar presented by Carly Brantner.
Past Event
Join us for this BDHS seminar presented by Anna Neufeld.
Past Event
Join us for this BHDS seminar presented by Keo Pangan
Past Event
Presented by Fan Li Associate Professor of Biostatistics Yale School of Public Health Intercurrent events, common in clinical trials, affect the existence or interpretation of final outcomes. Principal stratification addresses these challenges by defining local average treatment effects within latent subpopulations but often relies on restrictive assumptions such as monotonicity and/or counterfactual intermediate independence. To…
Past Event
Identifying causal genes for complex traits is both extremely important and challenging. CALDERA is a state-of-the-art method that leverages a small set of genetic and genomic features; however, transcriptome-wide association study (TWAS) signals were previously excluded due to potential redundancy with existing features. In this work, we extended CALDERA by introducing T-PoPS, a feature that…
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