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Topic-Contributed Paper Session

Big Data Analysis with Applications to Biostatistics

Mon, Aug 4, 8:30 AM - 10:20 AM Room CC-101C Music City Center

Yichuan ZhaoOrganizerYichuan ZhaoChair

International Chinese Statistical Association co: International Statistical Instituteco: Section on Statistical Learning and Data Science Applied

4 Presentations

Cancer Human Disease Networks (cHDNs) via Deep Learning SEER-Medicare

8:35 AM - 8:55 AM

human disease network deep learning SEER-Medicare cancer

Improve Fairness with Shift-Adjusted Neyman–Pearson Classifiers via Single Index Modeling (SACSI) Presentation

8:55 AM - 9:15 AM

Yingqi Zhao (Fred Hutchinson Cancer Research Center)

Algorithm fairness Data shift Neyman-Pearson Classifier

Dynamic Propensity Trajectory Modeling and Matching with Time-Dependent Covariates for Causal Inference

9:15 AM - 9:35 AM

Ming Wang (Case Western Reserve University)

Causal treatment Effect Cox Proportional Hazard model Observational Study Propensity Score Time-dependent Confounders

Promising Tools for Integrating Information from Secondary Outcomes to Improve Primary Data Analysis: A New Usage of Secondary Outcomes in the Era of Big Data

9:35 AM - 9:55 AM

Chixiang Chen (University of Maryland School of Medicine)

Data integration Statistical learning Secondary outcomes

Discussant

Ding-Geng Chen (Arizona State University, College of Health Solutions)

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