Case L D, Morgan T M
Department of Public Health Sciences and the Comprehensive Cancer Center of Wake Forest University, Wake Forest University School of Medicine, USA.
Lifetime Data Anal. 2001 Mar;7(1):21-37. doi: 10.1023/a:1009621009283.
Group sequential trials with time to event end points can be complicated to design. Not only are there unlimited choices for the number of events required at each stage, but for each of these choices, there are unlimited combinations of accrual and follow-up at each stage that provide the required events. Methods are presented for determining optimal combinations of accrual and follow-up for two-stage clinical trials with time to event end points. Optimization is based on minimizing the expected total study length as a function of the expected accrual duration or sample size while providing an appropriate overall size and power. Optimal values of expected accrual duration and minimum expected total study length are given assuming an exponential proportional hazards model comparing two treatment groups. The expected total study length can be substantially decreased by including a follow-up period during which accrual is suspended. Conditions that warrant an interim follow-up period are considered, and the gain in efficiency achieved by including an interim follow-up period is quantified. The gain in efficiency should be weighed against the practical difficulties in implementing such designs. An example is given to illustrate the use of these techniques in designing a clinical trial to compare two chemotherapy regimens for lung cancer. Practical considerations of including an interim follow-up period are discussed.
具有事件发生时间终点的序贯试验在设计上可能会很复杂。不仅每个阶段所需的事件数量有无数种选择,而且对于这些选择中的每一种,每个阶段都有无数种提供所需事件的累积和随访组合。本文提出了一些方法,用于确定具有事件发生时间终点的两阶段临床试验的累积和随访的最佳组合。优化是基于将预期的总研究时长作为预期累积持续时间或样本量的函数进行最小化,同时提供合适的总体规模和检验效能。假设采用指数比例风险模型比较两个治疗组,给出了预期累积持续时间的最佳值和最小预期总研究时长。通过纳入一个暂停累积的随访期,可以大幅缩短预期的总研究时长。考虑了需要进行中期随访期的条件,并对纳入中期随访期所实现的效率提升进行了量化。效率的提升应与实施此类设计的实际困难相权衡。给出了一个例子来说明这些技术在设计一项比较两种肺癌化疗方案的临床试验中的应用。讨论了纳入中期随访期的实际考虑因素。