| Literature DB >> 30458583 |
Jianrong Wu1,2, Li Chen1,2, Jing Wei3, Heidi Weiss1,2, Rachel W Miller2,4, John L Villano2,5.
Abstract
Molecularly targeted, genomic-driven, and immunotherapy-based clinical trials continue to be advanced for the treatment of relapse or refractory cancer patients, where the growth modulation index (GMI) is often considered a primary endpoint of treatment efficacy. However, there little literature is available that considers the trial design with GMI as the primary endpoint. In this article, we derived a sample size formula for the score test under a log-linear model of the GMI. Study designs using the derived sample size formula are illustrated under a bivariate exponential model, the Weibull frailty model, and the generalized treatment effect size. The proposed designs provide sound statistical methods for a single-arm phase II trial with GMI as the primary endpoint.Entities:
Keywords: accelerated failure time model; clinical trial design; growth modulation Index; paired time-to-progression; sample size
Mesh:
Year: 2018 PMID: 30458583 PMCID: PMC9335177 DOI: 10.1002/pst.1916
Source DB: PubMed Journal: Pharm Stat ISSN: 1539-1604 Impact factor: 1.234