Shi Qian, Sargent Daniel J
Department of Health Science Research, Mayo Clinic, Rochester, Minnesota.
Clin Adv Hematol Oncol. 2015 Mar;13(3):180-5.
In this article, we provide a high-level overview of statistical concepts related to study design and data analysis in oncology research. These concepts are discussed for 2 main types of clinical research: (1) observational studies, which focus on biomarker discovery in order to predict disease risk and prognosis, and (2) prospectively designed, well-controlled clinical trials, which are critical for the development of new cancer treatments. Throughout the article, we emphasize the importance of appropriate design and prospectively determined analysis plans. We also hope to promote effective collaboration between oncology investigators and statisticians who center their research on the development of cancer treatments.
在本文中,我们对肿瘤学研究中与研究设计和数据分析相关的统计概念进行了高层次概述。针对两种主要类型的临床研究讨论了这些概念:(1)观察性研究,其侧重于生物标志物发现以预测疾病风险和预后;(2)前瞻性设计的、严格对照的临床试验,这对新癌症治疗方法的开发至关重要。在整篇文章中,我们强调了适当设计和前瞻性确定的分析计划的重要性。我们还希望促进肿瘤学研究人员与以癌症治疗开发为研究核心的统计学家之间的有效合作。