Precision Medicine via Assessing Treatment Heterogeneity, Estimating Individualized Treatment Rules, and Sequential Design

Wed, Aug 7, 2:00 PM - 3:50 PM

Kyle GrosserChair

Biometrics Section

6 Presentations

Comparing Methods for Quantifying Heterogeneity in Treatment Effects; A Case Study for AML Patients

2:05 PM - 2:20 PM

Gege Gui

Co-authors: Laura Dillon (NHLBI), Christopher Hourigan (NHLBI), Scott Zeger (Johns Hopkins University Bloomberg School of Public Health)

Data Integration Methods for Micro-randomized Trials

2:20 PM - 2:35 PM

Easton Huch (University of Michigan)

Co-authors: Walter Dempsey, Inbal Nahum-Shani (University of Michigan), Lindsey Potter (University of Utah), David Wetter (University of Utah)

Inference on Variable Importance Measures for Heterogeneous Treatment Effects

2:35 PM - 2:50 PM

Pawel Morzywolek

Co-authors: Alex Luedtke (University of Washington)

M-learning for Individual Treatment Rule with Survival Outcomes

2:50 PM - 3:05 PM

Zhizhen Zhao

Co-authors: Andy NI (The Ohio State University), Xinyi Xu, Bo Lu (The Ohio State University), Macarius Donneyong (The Ohio State University)

Pooled Q-learning

3:05 PM - 3:20 PM

Tarek Zikry

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

Type I error inflation for detecting heterogeneity of treatment effects in cluster randomized trials

3:20 PM - 3:35 PM

Noorie Hyun (Kaiser Permanente Washington Health Research Institute)

Co-authors: Abisola Idu (Kaiser Permanente Washington Health Research Institute), Andrea Cook (Kaiser Permanente Washington Health Research Institute), Jennifer Bobb (Kaiser Permanente Washington)