Advanced Causal Analysis: Mediation, Treatment Effects, and High-Dimensional Inference -- JSM 2025

A Bayesian semiparametric survival method on mediation analysis with dynamic treatment regimes

2:05 PM - 2:20 PM

Co-authors: Weiyi Xia (Rutgers University), Weiyi Xia (Rutgers University), Arman Oganisian (Brown University), Kelly Getz (University of Pennsylvania), Jason Roy (Rutgers University)

Causal mediation analysis Bayesian survival analysis dynamic treatment regimes gamma process proportional hazards model

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts

2:20 PM - 2:35 PM

Co-authors: Rong Zhao, Vernon Chinchilli (Penn State University, Dept. of Public Health Sciences), Rong Zhao, Chixiang Chen (University of Maryland School of Medicine)

Causal inference Federated learning Targeted learning Projection-based estimand

Asymptotic Inference in High Dimensional Instrumental Variable Models

2:35 PM - 2:50 PM

Co-authors: Madhav Sankaranarayanan, Rajarshi Mukherjee, Madhav Sankaranarayanan

High Dimensional Statistics Instrumental Variables Models Asymptotic Inference Causal Inference Minimax Optimality

WITHDRAWN Bayesian Mediation Analysis for Zero-Inflated Outcome with Causal Effect Decomposition

2:50 PM - 3:05 PM

Co-authors: Jinhong Cui (UAB), Xiaoxiao Zhou (Duke University), Nengjun Yi (University of Alabama at Birmingham)

Mediation Bayesian Zero-inflation Causal effect decomposition MCMC

Bayesian Mediation Analysis with Latent Exposure Mixtures

3:05 PM - 3:20 PM

Co-authors: Yiran Wang (Yale University), Yiran Wang (Yale University), Joshua Warren (Yale University), Jonathan Boss (Eli Lilly and Company), John Meeker (University of Michigan), Bhramar Mukherjee (University of Michigan)

Causal mediation analysis Latent factor modeling Environmental health Bayesian inference Exposure mixtures

Estimating Marginal Treatment Effects Under Compound Selection Bias in a Multistate Model Framework

3:20 PM - 3:35 PM

Co-authors: Guannan Chen (George Washington University), Qing Pan (George Washington University), Guannan Chen (George Washington University), Li Cheung (National Cancer Institute)

Multistate models Inverse probability weighting Selection bias Population-level treatment effects Survival analysis Causal inference

WITHDRAWN Personalized pricing with invalid instrumental variables

3:35 PM - 3:50 PM

Co-authors: Rui Miao (University of California, Irvine), Zhengling Qi, Cong Shi (University of Miami), Lin Lin (Duke University)

causal Inference pricing instrumental variable

Advanced Causal Analysis: Mediation, Treatment Effects, and High-Dimensional Inference

7 Presentations