Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada.
Department of Statistics and Actuarial Science, The University of Hong Kong, Pok Fu Lam Road, Hong Kong.
Pharm Stat. 2020 Jul;19(4):454-467. doi: 10.1002/pst.2005. Epub 2020 Feb 15.
Phase II clinical trials designed for evaluating a drug's treatment effect can be either single-arm or double-arm. A single-arm design tests the null hypothesis that the response rate of a new drug is lower than a fixed threshold, whereas a double-arm scheme takes a more objective comparison of the response rate between the new treatment and the standard of care through randomization. Although the randomized design is the gold standard for efficacy assessment, various situations may arise where a single-arm pilot study prior to a randomized trial is necessary. To combine the single- and double-arm phases and pool the information together for better decision making, we propose a Single-To-double ARm Transition design (START) with switching hypotheses tests, where the first stage compares the new drug's response rate with a minimum required level and imposes a continuation criterion, and the second stage utilizes randomization to determine the treatment's superiority. We develop a software package in R to calibrate the frequentist error rates and perform simulation studies to assess the trial characteristics. Finally, a metastatic pancreatic cancer trial is used for illustrating the decision rules under the proposed START design.
Ⅱ期临床试验旨在评估药物的治疗效果,可采用单臂或双臂设计。单臂设计检验新药物的缓解率低于固定阈值的零假设,而双臂方案则通过随机化对新治疗方法与标准治疗方法的缓解率进行更客观的比较。虽然随机设计是疗效评估的金标准,但在某些情况下,在进行随机试验之前进行单臂初步研究是必要的。为了结合单臂和双臂阶段并汇集信息以做出更好的决策,我们提出了一种具有切换假设检验的单臂到双臂过渡设计(START),其中第一阶段将新药物的缓解率与最低要求水平进行比较,并施加一个持续标准,第二阶段利用随机化来确定治疗方法的优越性。我们使用 R 开发了一个软件包来校准频率主义错误率,并进行模拟研究来评估试验特征。最后,我们使用转移性胰腺癌试验来说明所提出的 START 设计下的决策规则。