collaborators

5 papers

stat.ME2026

adabay: an R package for rapid evaluation and calibration of Bayesian group sequential designs across common endpoint types

Zhangyi He, Feng Yu

Bayesian group sequential designs (GSDs) combine the efficiency of frequentist GSDs with clinically interpretable probability statements and principled external evidence incorporat…

stat.ME2026

Rapid evaluation and calibration of Bayesian group sequential designs via conjugate-mixture semi-simulation

Zhangyi He, Feng Yu, Suzie Cro +1

Bayesian group sequential designs (GSDs) extend frequentist GSDs with interpretable decision-making and external evidence borrowing, but their use is limited by the computational b…

stat.ME2026

From aggressive to conservative early stopping in Bayesian group sequential designs

Zhangyi He, Feng Yu, Suzie Cro +1

Group sequential designs (GSDs) are widely used in confirmatory trials to allow interim monitoring while preserving control of the type I error rate. In the frequentist framework,…

stat.ME2025

A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing

Linxi Han, Qiqi Deng, Feng Yu +1

Accurate dose selection in Phase II trials is critical to the success of subsequent Phase III trials, but suboptimal choices remain a leading cause of trial failure and regulatory…

stat.ME2025

Optimal scheduling of interim analyses in group sequential trials

Zhangyi He, Suzie Cro, Laurent Billot

Group sequential designs (GSDs) are well established and the most commonly used adaptive design in confirmatory clinical trials with interim analyses. However, they remain underuti…