医学
临床试验
临床研究设计
代理终结点
临床终点
医学物理学
研究设计
随机化
终点测定
适应性设计
生物标志物
重症监护医学
肿瘤科
内科学
统计
生物化学
化学
数学
作者
Wenting Wu,Qian Shi,Daniel J. Sargent
标识
DOI:10.1053/j.seminoncol.2011.05.014
摘要
In this article, we address some of the statistical issues associated with the next generation of oncology clinical trials. Specifically, we focus on two critical aspects of oncologic clinical trials: study endpoints and study design. In our discussion of study endpoints, we provide an overview of endpoints relevant to each phase of clinical trials (phases I, II, and III) and discuss some of the trends in selecting endpoints in recent years. For phase I designs, the traditional assumption that increasing dose will always lead to increasing efficacy, appropriate for cytotoxic agents, is not applicable to novel therapeutics such as in colorectal carcinoma. We emphasize the role of surrogate endpoints in modern clinical trials. In our discussion of study design, we are particularly interested in the essential role of randomization, and discuss recently developed randomized phase II designs. We consider the role biomarkers play in the design of clinical trials and introduce study designs for biomarker evaluations. Finally, we briefly discuss the application of adaptive designs in clinical trials.
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