Contributed Papers

Recent Advances in Personalized Precision Medicine Research

Mon, Aug 4, 2:00 PM - 3:50 PM Room CC-212 Music City Center

Wei JinChair

Biometrics Section

About this session

This session will highlight latest advancements in personalized precision medicine research as applied to EHR data sources, SMART data, or multi omics.

7 Presentations

A Marginal Structural Model for Partial Compliance in SMARTs

2:05 PM - 2:20 PM

Co-authors: William Artman (University of Rochester), Indrabati Bhattacharya (Florida State University), Indrabati Bhattacharya (Florida State University), Ashkan Ertefaie (University of Pennsylvania), Kevin Lynch (University of Pennsylvania), James McKay (University of Pennsylvania), Brent Johnson (University of Rochester-Medical Center)

Dynamic treatment regime Non-parametric Bayes Partial compliance Principal stratification Marginal structural models

Backward Bayesian Outcome Weighted Learning

2:20 PM - 2:35 PM

Co-authors: Emmanuel Rockwell, Nikki Freeman (Duke University), Emmanuel Rockwell, Michael Kosorok (University of North Carolina at Chapel Hill)

Precision medicine dynamic treatment regimes Bayesian statistics

Debiased EHR Embeddings for Individualized Treatment Effect Estimation in Precision Medicine

2:35 PM - 2:50 PM

Co-authors: Lu Li, Yiwen Lu, Lu Li, Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Counterfactual Outcome Prediction Negative control outcomes Precision Medicine Real-World Evidence electronic health records Individualized Treatment Effect (ITE)

Dynamic treatment regimes via smooth surrogate loss for arbitrary number of treatments per stage

2:50 PM - 3:05 PM

Co-authors: Nilson Chapagain (Texas A&M University), Nilanjana Laha (Texas A&M University), Nilson Chapagain (Texas A&M University)

Dynamic Treatment Regimes Sequential Decision-Making and Policy Learning Surrogate Losses Non-Convex Optimization Fisher Consistency Weighted Multi-class Classification

Evaluating and Testing for Actionable Treatment Effect Heterogeneity

3:05 PM - 3:20 PM

Co-authors: Nicholas Henderson, Nicholas Henderson, Mahsa Ashouri (Miami University)

interaction model comparison precision medicine resampling

Time-Varying Treatment Effect Estimation With Irregular Patient Visit Data

3:20 PM - 3:35 PM

Co-authors: Yuan Zhou, Bin Zhang (Cincinnati Children’s Hospital Medical Center), Yuan Zhou, Bin Huang (Cincinnati Children's Medical Center), Hang Joon Kim (University of Cincinnati)

Time-varying treatment effects Irregular longitudinal data Multiple imputation Bayesian additive regression trees

Variable selection in joint modeling of skewed longitudinal data and discrete failure time data

3:35 PM - 3:50 PM

Co-authors: Yuchen Mao, Rajeshwari Sundaram (National Institute of Child Health and Human Development), Yuchen Mao

joint modeling Skewed longitudinal data discrete failure time data grouped variable selection Monte Carlo EM