SPEED 5: Causal inference, Precision Medicine and Clinical Trials, Part 1 -- JSM 2025

A Doubly-HDPHMM Framework to Study Heterogeneous Population and Individual Rest-Activity Behaviors

8:35 AM - 8:40 AM

Co-authors: Jiachen Lu (Merck & Co, Inc), Qian Xiao (University of Texas Health Science Center at Houston), Jiachen Lu (Merck & Co, Inc), Cici Bauer (University of Texas Health Science Center in Houston)

24-Hour Actigraphy Data Hidden Markov Models Nonparametric Bayesian Rest-Activity Behaviors

An R package for Survival-based Gene Set Enrichment Analysis

8:40 AM - 8:45 AM

Co-authors: Xiaoxu Deng, Jeffrey Thompson (Department of Biostatistics and Data Science at KUMC), Xiaoxu Deng

Gene Set Enrichment Analysis (GSEA)R package Shiny App Pathway enrichment analysis Survival outcomes Transcriptomic variation Biological functions

Causal indirect effect of an HIV curative treatment: mediators subject to an assay limit and measurement error

8:45 AM - 8:50 AM

Co-authors: Vindyani Herath (Boston University), Vindyani Herath (Boston University), Ronald Bosch (Harvard T.H. Chan School of Public Health), Judith Lok (Boston University)

causal mediation analysis causal inference assay lower limit measurement error HIV/AIDS indirect effects

Statistical Inference for Binary Outcomes in Two-Sample Summary-Data Mendelian Randomization

8:50 AM - 8:55 AM

Co-authors: Chen-Hua Cho (National Tsing Hua University), An-Shun Tai (Institute of Statistics and Data Science, National Tsing Hua University), Chen-Hua Cho (National Tsing Hua University)

mendelian randomization binary outcome summary data pleiotropy eﬀects causal inference

Causal mediation analysis of non-mortality outcomes with follow-up truncated by death

8:55 AM - 9:00 AM

Co-authors: An-Shun Tai (Institute of Statistics and Data Science, National Tsing Hua University), An-Shun Tai (Institute of Statistics and Data Science, National Tsing Hua University)

Causal mediation analysis Data-adaptive G-computation Death truncation,Non-mortality outcome Survivor natural direct and indirect effects.

Comparison of Nonlinear Mendelian Randomization for Causal Inference

9:00 AM - 9:05 AM

Co-authors: Yizeng Li (University of South Carolina), Yizeng Li (University of South Carolina), Wei Pan (University of Minnesota)

Causal effects Genetic variants Genome-Wide Association Studies (GWAS)Transcriptome-Wide Association Studies (TWAS)

Evaluating the Heterogeneity of Treatment Effects Across Subgroups with Existance of Missing Data

9:05 AM - 9:10 AM

Co-authors: Jianghao Li (Eli Lilly and Company), Jianghao Li (Eli Lilly and Company), Ruth Huh (Eli Lilly and Company), Qiwei Wu (Eli Lilly and Company), Yongming Qu (Eli Lilly and Company)

Subgroup Separate Model Rubin’s Rule Bootstrap

Expanding the Application of Propensity Scores: A Study of Multi-Treatment Matching Package

9:10 AM - 9:15 AM

Co-authors: Lizzy Rono (North Dakota State University), Bong-Jin Choi (North Dakota State University), Lizzy Rono (North Dakota State University)

Propensity Scores Matching Machine Learning Treatment Comparison Multivariate Regression Balancing

Investigating the Impact of Digital Courseware on Learning and Engagement in Introductory Statistics

9:15 AM - 9:20 AM

Co-authors: Zaher Kmail (University of Washington-Tacoma), Vanessa Peters Hinton (Digital Promise), Zaher Kmail (University of Washington-Tacoma)

digital courseware introductory statistics high impact practices student engagement formative assessment feedback

Matching-Adjusted Indirect Comparison for Time-to-Event Endpoints

9:20 AM - 9:25 AM

Co-authors: Moming Li (AbbVie), Moming Li (AbbVie), Yixin Fang (AbbVie)

competing risks HTA MAIC restricted mean survival time time-to-event

Methods for Estimating VE Using Routine School Testing Data with Differential Testing Behavior

9:30 AM - 9:35 AM

Co-authors: Amy Moore, Amy Moore, Paige Harton (Emory University), Allison Chamberlain (Emory University, Rollins School of Public Health), Elizabeth Rogawski-McQuade (Emory University), Natalie Dean (Emory University)

Vaccine Effectiveness Target Trial Emulation Test-negative Design Time-varying Effect COVID-19 Observational Study

Multivariate proteome-wide association study to identify causal proteins for Alzheimer’s disease

9:35 AM - 9:40 AM

Co-authors: Lei Fang, Haoran Xue (City University of Hong Kong), Lei Fang, Zhaotong Lin, Wei Pan (University of Minnesota)

2ScML 2SLS constrained maximum likelihood instrumental variable (IV)pleiotropy

Non-parametric Evaluation of Contextually Optimal Decision-Aids

9:40 AM - 9:45 AM

Co-authors: Dominic DiSanto (Harvard T.H. Chan School of Public Health), Junwei Lu (Harvard T.H. Chan School of Public Health), Dominic DiSanto (Harvard T.H. Chan School of Public Health)

decision-aids non-parametric regression relevance-weighted likelihood optimal assortment

Personalized mediation effect model for heterogeneous mobile health data on stress

9:45 AM - 9:50 AM

Co-authors: Cadence Pinkerton, Cadence Pinkerton

mediation effect model heterogeneous data individualized model wearable device subgroup analysis mobile health

Quantile growth mixture modeling of weight loss for bariatric surgery patients

9:50 AM - 9:55 AM

Co-authors: Ernest Shen (Kaiser Permanente), Ernest Shen (Kaiser Permanente), Karen Coleman (Kaiser Permanente Southern California)

Growth mixture modeling Quantile regression Growth curve modeling

Reference based imputation methods integrated with mixed models for addressing intercurrent events

9:55 AM - 10:00 AM

Co-authors: Delia Voronca (Regeneron), Delia Voronca (Regeneron)

reference-based imputation mixed model for repeated measures intercurrent events

SPEED 5: Causal inference, Precision Medicine and Clinical Trials, Part 1

16 Presentations