Pang Herbert, Wang Xiaofei
School of Public Health, Li Ka Shing Faculty of Medicine, Pok Fu Lam, Hong Kong SAR, China.
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Chin Clin Oncol. 2016 Feb;5(1):11. doi: 10.3978/j.issn.2304-3865.2014.07.04.
In this article, we describe statistical issues related to the conduct of translational and correlative studies in cancer clinical trials. In the era of personalized medicine, proper biomarker discovery and validation is crucial for producing groundbreaking research. In order to carry out the framework outlined in this article, a team effort between oncologists and statisticians is the key for success.
在本文中,我们描述了与癌症临床试验中的转化研究和相关研究实施相关的统计学问题。在个性化医疗时代,恰当的生物标志物发现与验证对于开展开创性研究至关重要。为了实施本文概述的框架,肿瘤学家和统计学家之间的团队合作是成功的关键。