Design and monitoring of survival trials in complex scenarios. (3rd October 2018)

• Record Type: Journal Article
• Authors: Luo, Xiaodong; Mao, Xuezhou; Chen, Xun; Qiu, Junshan; Bai, Steven; Quan, Hui
• Is Part Of: Statistics in medicine. Volume 38:Number 2(2019)
• Page Start: 192
• Page End: 209
• Publication Date: 2018-10-03
• Subjects: delayed treatment effect -- intent‐to‐treat -- non‐uniform accrual -- piecewise exponential -- survival trials -- treatment crossover -- treatment dilution; Medical statistics -- Periodicals; Statistique médicale -- Périodiques; Statistiques médicales -- Périodiques; 610.727
• DOI: 10.1002/sim.7975
• Languages: English
• ISSNs: 0277-6715

Abstract

Abstract : This paper proposes an approach to design and monitor survival trials accounting for complex scenarios such as delayed treatment effect, treatment dilution, and treatment crossover. These scenarios often lead to non‐proportional hazards, making study design and monitoring more difficult. We demonstrate that, with event times following piecewise exponential distributions, the log‐rank statistic as well as its variance‐covariance structure can be easily computed, which greatly simplifies study design and monitoring. As the number of pieces in the exponential distributions can be arbitrary, this approach can handle a wide range of scenarios. Three hypothetical examples are used to demonstrate its potential use.