collaborators

5 papers

stat.ME2026

Dynamic Prediction of the Target Survival Time in Metastatic Solid Tumor Cancer Clinical Trials

Sidi Wang, Kelley Kidwell, Bo Huang +1

Overall survival (OS) is the gold standard for assessing patient benefit and cost-effectiveness of new cancer drugs. However, it is often difficult to use OS as the primary endpoin…

stat.AP2026

Learning from Literature: Integrating LLMs and Bayesian Hierarchical Modeling for Oncology Trial Design

Guannan Gong, Satrajit Roychoudhury, Allison Meisner +3

Designing modern oncology trials requires synthesizing evidence from prior studies to inform hypothesis generation and sample size determination. Trial designs based on incomplete…

stat.ME2026

On regional treatment effect assessment using robust MAP priors

Xin Zhang, Hui Zhang, Satrajit Roychoudhury

Bayesian dynamic borrowing has become an increasingly important tool for evaluating the consistency of regional treatment effects which is a key requirement for local regulatory ap…

stat.ME2025

Evaluating treatment effects on longitudinal outcomes with attrition due to death: Methods for a two-dimentional estimand with a case study in Quality of Life

Dries Reynders, Doranne Thomassen, Satrajit Roychoudhury +5

When longitudinal outcomes are evaluated in mortal populations, their non-existence after death complicates the analysis and its causal interpretation. Where popular methods often…

stat.ME2025

A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions

Xin Zhang, Haitao Chu, Lin Liu +1

G-computation has become a widely used robust method for estimating unconditional (marginal) treatment effects with covariate adjustment in the analysis of randomized clinical tria…