Lin Xun, Allred Randy, Andrews Glen
Pfizer Global Research and Development, La Jolla Laboratories, 10555 Science Center Drive, San Diego, CA 92121, USA.
Pharm Stat. 2008 Apr-Jun;7(2):88-92. doi: 10.1002/pst.255.
Phase II trials in oncology drug development are usually conducted to perform the initial assessment of treatment activity. The common designs in this setting, for example, Simon 2-stage designs, are often developed based on testing whether a parameter of interest, usually a proportion (e.g. response rate), is less than a certain level or not. These designs usually consider only one parameter. However, sometimes we may encounter situations where we need to consider not a single parameter, but multiple parameters. This paper presents a two-stage design in which both primary and secondary endpoints are utilized in the decision rules. The family-wise Type 1 error rate and statistical power of the proposed design are investigated under a variety of situations by means of Monte-Carlo simulations.
肿瘤学药物研发中的II期试验通常用于对治疗活性进行初步评估。在此背景下的常见设计,例如西蒙2期设计,通常是基于检验一个感兴趣的参数(通常是一个比例,如缓解率)是否小于某个特定水平而开发的。这些设计通常只考虑一个参数。然而,有时我们可能会遇到需要考虑多个参数而非单个参数的情况。本文提出了一种两阶段设计,其中主要终点和次要终点都被用于决策规则中。通过蒙特卡洛模拟,在各种情况下研究了所提出设计的家族性I型错误率和统计功效。