Lai Tze Leung, Shih Mei-Chiung, Zhu Guangrui
Department of Statistics, Stanford University, Stanford, CA 94305, USA.
Stat Med. 2006 Apr 15;25(7):1149-67. doi: 10.1002/sim.2357.
In designing an active controlled clinical trial, one sometimes has to choose between a superiority objective (to demonstrate that a new treatment is more effective than an active control therapy) and a non-inferiority objective (to demonstrate that it is no worse than the active control within some pre-specified non-inferiority margin). It is often difficult to decide which study objective should be undertaken at the planning stage when one does not have actual data on the comparative advantage of the new treatment. By making use of recent advances in the theory of efficient group sequential tests, we show how this difficulty can be resolved by a flexible group sequential design that can adaptively choose between the superiority and non-inferiority objectives during interim analyses. While maintaining the type I error probability at a pre-specified level, the proposed test is shown to have power advantage and/or sample size saving over fixed sample size tests for either only superiority or non-inferiority, and over other group sequential designs in the literature.
在设计一项活性对照临床试验时,有时必须在优效性目标(证明一种新疗法比活性对照疗法更有效)和非劣效性目标(证明在某个预先指定的非劣效性界值内,它不比活性对照差)之间做出选择。当在规划阶段没有关于新疗法比较优势的实际数据时,往往很难决定应该采用哪个研究目标。通过利用有效成组序贯检验理论的最新进展,我们展示了如何通过一种灵活的成组序贯设计来解决这一难题,该设计能够在期中分析期间在优效性和非劣效性目标之间进行自适应选择。在将I型错误概率维持在预先指定水平的同时,与仅针对优效性或非劣效性的固定样本量检验以及文献中的其他成组序贯设计相比,所提出的检验显示出具有功效优势和/或节省样本量的特点。