New Horizons on Model Transportability and Data Integration | Poster Session
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Presenter: Priyanjali Bukke (University of Virginia) Collaborator(s): Martin Slawski Title: A General Framework for Inference After Record Linkage
Presenter: Jae Ho Chang (The Ohio State University) Collaborator(s): Arnab Auddy, Subhadeep Paul Title: Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes (VANEB)
Presenter: Min-Yi Chen (Iowa State University) Collaborator(s): Jae-Kwang Kim, Yumou Qiu Title: Soft-Constrained Bregman Calibration
Presenter: Xinlei Chen (University of Pittsburgh) Collaborator(s): Title: Federated Learning of Robust Individualized Decision Rules with Application to Heterogeneous Multihospital Sepsis Population
Presenter: Aoran Chen (Pennsylvania State University) Collaborator(s): Tun He, Yang Feng Title: Individualized Survival Prediction for Rare Cancers by Borrowing Strength from Related Tumor Types: A Pan-Cancer TCGA Analysis
Presenter: Elizabeth Willow Eisenhauer (Westat) Collaborator(s): Laura Gamble, Elizabeth Eisenhauer, Andreea Erciulescu, Rebecca Fink, Sarah Smith-Jeffcoat, Jefferson Jones, Bryan Spencer, Mars Stone, Michael Busch Title: Sampling and Weighting Strategies for Nonprobability Survey and Serology Data
Presenter: Shengtong Han (Marquette University) Collaborator(s): Dr. Di Wang; Dr. Wenhui Sheng; Nathanael Chu Title: Integrating multi-omics data through deep learning for prioritizing genes associated with autism
Presenter: Nel Jason Haw (Johns Hopkins University) Collaborator(s): Althoff, Keri; Agwu, Allison; Lesko, Catherine Title: Assembling a Synthetic Life Course Cohort to Study the Incidence of Non-AIDS-Defining Conditions among People with Perinatally Acquired HIV in the United States: A DATA FUSION STUDY
Presenter: Peiyu He (Duke University) Collaborator(s): Guanhua Chen Title: Learning Individualized Treatment Rules for a Target Population with Right-Censored Survival Outcomes
Presenter: Yonghan Jung (University of Illinois Urbana-Champaign) Collaborator(s): Title: TransPFN: Transportability-Inspired Causal Meta-Learning for OOD-Robust Causal Effects
Presenter: Hajoung Lee (Seoul National University) Collaborator(s): Kwonsang Lee Title: High-Dimensional Matching via Energy Distance Minimization
Presenter: Shan Leng (University of Wisconsin, Madison) Collaborator(s): Tianyi Yang, Peinan Hu, Yan Li, Fulai Jin, Mark P Keller, Alan D Attie, Sündüz Keleş Title: CascadeS2F: A Cascaded, Causality-Aware Sequence-to-Function Model Across Molecular Layers
Presenter: Tomoki Okuno (University of California, Los Angeles (UCLA)) Collaborator(s): Brendon Chau, Gang Li, Sijia Li, Hua Zhou, Jin Zhou Title: Semi-Supervised Causal Mediation Analysis with Partially Observed Mediators
Presenter: Isaac Scheinfeld (Columbia University) Collaborator(s): Hannah Li, Hongseok Namkoong Title: When Representative Samples Produce Worse Outcomes: Scale-up Decisions and Testing in Small-Budget RCTs
Presenter: MOOKYONG SON (Memorial Sloan-Kettering Cancer Center) Collaborator(s): Danya T. Hassan, Ronglai Shen, Katherine Panageas, Yuan Chen Title: Bayesian Neural Networks for Multi-Institutional, Multi-Modal Genomic Data Integration
Presenter: Yuyao Wang (Northeastern University) Collaborator(s): Alexander W. Levis, Shu Yang, Larry Han Title: History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
Presenter: Yikun Zhang (University of Washington) Collaborator(s): Steven Wilkins-Reeves, Wesley Lee, Aude Hofleitner Title: Transfer Learning Through Conditional Quantile Matching
Presenter: Xinyuan Zhang (Georgia Institute of Technology) Collaborator(s): Benjamin Yakir, Yajun Mei Title: A Note on High-Dimensional Sparse Sequential Change-Point Detection
Presenter: Ke Zhu (North Carolina State University) Collaborator(s): Shu Yang, Xiaofei Wang Title: Robust Estimation and Inference in Hybrid Controlled Trials
Presenter: Jungang Zou (Department of Biostatistics at Columbia University) Collaborator(s): Joseph E. Schwartz, Roderick J. A. Little, Nathalie Moise, Qixuan Chen Title: Transporting Treatment Effects from Randomized Trials to EHR Populations using Bayesian Propensity Score Predictive Inference