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.
Original language | English |
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Pages (from-to) | 212-222 |
Number of pages | 11 |
Journal | Pharmaceutical Statistics |
Volume | 18 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1 2019 |
Bibliographical note
Publisher Copyright:© 2018 John Wiley & Sons, Ltd.
Keywords
- accelerated failure time model
- clinical trial design
- growth modulation Index
- paired time-to-progression
- sample size
ASJC Scopus subject areas
- Statistics and Probability
- Pharmacology
- Pharmacology (medical)