title: Statistical aspect of translational and correlative studies in clinical trials.
abstract: 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.
authors.affiliation: School of Public Health, Li Ka Shing Faculty of Medicine, Pok Fu Lam, Hong Kong SAR, China. pathwayrf@gmail.com.
authors.forename: Herbert
authors.initials: H
authors.lastname: Pang
authors.affiliation: Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA. xiaofei.wang@duke.edu.
authors.forename: Xiaofei
authors.initials: X
authors.lastname: Wang
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D002986:Clinical Trials as Topic / Q000592:standards* / Q000706:statistics & numerical data*; D006801:Humans; D015337:Multicenter Studies as Topic; D009369:Neoplasms / Q000628:therapy*; D011379:Prognosis; D012107:Research Design; D057170:Translational Research, Biomedical
chemical_list: D014408:Biomarkers, Tumor
keywords: Big data; bioinformatics; biomarkers; oncology; personalized medicine; translational science