Past Event
BHDS Seminar with Jong-Min Kim
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
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…
Past Event
Rick Chappell, Professor, Departments of Statistics and of Biostatistics and Medical Informatics at the University of Wisconsin - Madison, will present: "Modern Controversies over Survival Outcomes in Clinical Trials" Textbooks describing how to analyze time-to-event outcomes in clinical trials tend to list a limited range of topics. Differences are often quantified using hazard ratios from…
Past Event
Ruitao Lin, Assistant Professor of Biostatistics at the University of Texas MD Anderson Cancer Center, will present: "DEMO: Bayesian Adaptive Dose Exploration-Monitoring-Optimization Design Based on Short, Intermediate, and Long-term Outcomes" The advancements in targeted therapy or immunotherapy have challenged the conventional “more-is-better'' paradigm in oncology. Due to the deadly nature of cancer, an optimal dose…
Past Event
Jeremy M G Taylor, of the Department of Biostatistics at the University of Michigan, will present: "Using Joint Models for Longitudinal and Time-to-Event Data to Investigate the Causal Effect of Salvage Therapy after Prostatectomy" Prostate cancer patients who undergo prostatectomy are closely monitored for recurrence and metastasis using routine prostate-specific antigen (PSA) measurements. When PSA…
Past Event
PhD candidate in Biostatistics, Jessica Butts, will present: "Methods for Integrative Analysis and Prediction Accounting for Subgroup Heterogeneity" PhD advisers: Sandra Safo and Lynn Eberly Abstract: Multi-view data, where there are multiple data views (e.g., genomics, proteomics) measured on the same set of participants, have become increasingly available and require integrative analysis methods to fully…
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