Past Event
BHDS Seminar with Ye Tian
Join us for this presentation titled "Regularized Fine-tuning in Representation Multi-task Learning: Adaptivity and Robustness."
Past Event
Join us for this presentation titled "Regularized Fine-tuning in Representation Multi-task Learning: Adaptivity and Robustness."
Past Event
Join us for this presentation titled "Uncertainty-Aware Human Preference Study and Machine Learning Predictions"
Past Event
Join us for this presentation titled "Advancing Biomedical Data Science: From Population Insights to Personalized Decisions."
Past Event
Please join us for this presentation titled "Harmonization of Longitudinal Physical Activity Intensity Measures from Multiple Sources".
Past Event
Join us for this presentation titled Modeling Trajectories Using Functional Linear Differential Equations
Past Event
Join us for this presentation titled "Novel Approaches to Generalizing Results from Randomized Trials"
Past Event
Join us for this presentation titled: Proposed Solutions for Counting Person-Time in Instances Where No Active Comparator Is Present.
Past Event
Join us for this presentation titled "Differential Impact of School Start Times: Exploring Heterogeneous Treatment Effects of Delaying School Start Times on Sleep and BMI via Glmm Trees in the Start Study"
Past Event
Join us for this presentation titled "An Interactive Shiny Application to Build Intuition for Statistical Modeling with Interaction Terms".
Past Event
Join us for this presentation titled Machine Learning and Surgical Decision Making.
Past Event
Join us to hear Yuan Zhang's presentation Dynamic Risk Assessment by Landmark Modeling of the Restricted Mean Survival Time.
Past Event
Join us for this presentation on Copula Applications and Reinforcement Learning for Personalized Treatment Policies in the Context of High-Dimensional Missing and Censored Data.
Past Event
Kristin Linn, Assistant Professor of Biostatistics at the University of Pennsylvania, will present: "Estimation and Evaluation of Individualized Treatment Rules Following Multiple Imputation" Data-driven optimal treatment strategies promise to benefit patients, care providers, and other stakeholders by improving clinical outcomes and lowering healthcare costs. A treatment decision rule is a function that inputs patient-level information…
Past Event
PhD candidate in Biostatistics, Jonathan Kim, will present: "Bayesian Modeling of Multi-Source Multi-Way Data" PhD Adviser: Eric Lock Biomedical research often involves data collected from multiple sources and these sources often have a multi-way (i.e.. multidimensional tensor) structure. Existing methods that can accommodate multi-source or multi-way data have various limitations on the exact structure of…
Past Event
Xiang Zhu, of the Department of Statistics at Penn State, will present: "Applying an Enhancer Lens to Human Disease Genetics" Over the past two decades, genome-wide association studies (GWAS) have advanced the discovery and interpretation of numerous genetic variants influencing complex human diseases. Notably, more than 90% of disease-associated variants are located within non-coding regions…
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