Causal Inference in Clinical Trials: Bridging Theory and Practice

Thu, Aug 7, 8:30 AM - 10:20 AM Room CC-212 Music City Center

Kaifeng LuChair

Biopharmaceutical Section

7 Presentations

Approaches to Causal Inference in Precision Medicine: AI-based Causal Modeling vs Latent model

8:35 AM - 8:50 AM

Co-authors: Bin Dong, Bin Dong

Causal inference AI-based Precision medicine Subgroup Identification latent model disease progression

Bayesian Mediation Analysis for Causal Pathways

8:50 AM - 9:05 AM

Co-authors: Marc Sobel (Temple University), Ibrahim Turkoz (J&J Innovative Medicine, Research & Development), Marc Sobel (Temple University), Isaac Nuamah (Janssen (J&J) R & D)

Bayesian Mediation Analysis, Gaussian processes, Spline Models, Effect Size Comparisons, Stan, MCMCregress and brm R packages

Causal Inference with Transfer Learning: Calibrating Treatment Effects via Distributional NCOs

9:05 AM - 9:20 AM

Co-authors: Yuqing Lei, Yuqing Lei, Dazheng Zhang, Huiyuan Wang (University of Pennsylvania), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Causal inference Transfer learning Digital twin Negative control outcomes Bias calibration Average treatment effect

Dose Response with No Delta? A Causal Inference Application

9:20 AM - 9:35 AM

Co-authors: Zijiang Yang (Johnson and Johnson), Benjamin Ackerman (Johnson & Johnson Innovative Medicine), Zijiang Yang (Johnson and Johnson), Daniel Backenroth (Johnson & Johnson), Xiaoming Li (Johnson and Johnson Innovative Medicine)

Causal Inference Propensity Score Dose response Clinical trial design

Enhanced Simulated Treatment Comparison Through Direct Marginalization

9:35 AM - 9:50 AM

Co-authors: Zilin Wang, Haitao Chu (University of Minnesota Twin Cities), Zilin Wang, Haitao Chu (Pfizer), Lifeng Lin

Indirect treatment comparisons Marginal treatment effect Population adjustment Simulated treatment comparison

Practical Considerations on Selecting Statistical Methods to Mitigate Unmeasured Confounding

9:50 AM - 10:05 AM

Co-authors: Huifang (Ariel) Chen (AstraZeneca), Huifang (Ariel) Chen (AstraZeneca), Kirsty Rhodes (AstraZeneca), Di Ran

Unmeasured confounding Sensitivity analysis Non-randomized studies

Practical Examples of Mediation Analyses for Clinical Trials using Both Frequentist and Bayesian App

10:05 AM - 10:20 AM

Co-authors: Ibrahim Turkoz (J&J Innovative Medicine, Research & Development), Ibrahim Turkoz (J&J Innovative Medicine, Research & Development), Marc Sobel (Temple University), Isaac Nuamah (Janssen (J&J) R & D)

Mediation Analysis Bayesian Frequentist Informative and non-informative priors