@article{39f00214d34d4cb6bc94d3623d5214de,
title = "Biomarker Discovery and Validation: Statistical Considerations",
abstract = "Biomarkers have various applications including disease detection, diagnosis, prognosis, prediction of response to intervention, and disease monitoring. In this era of precision medicine, having validated biomarkers to inform clinical decision making is more important than ever. In this article, we discuss best the practices and potential issues in biomarker discovery and validation. We encourage team science partnerships to bring cutting-edge discovery from bench to bedside, leading to improved patient care and outcomes.",
keywords = "Biomarker, Clinical trial, Confirmation analysis, Exploratory analysis",
author = "Ou, {Fang Shu} and Stefan Michiels and Yu Shyr and Adjei, {Alex A.} and Oberg, {Ann L.}",
note = "Funding Information: This work was partially supported by the National Institutes of Health (NIH) grant P30CA15083 (Mayo Comprehensive Cancer Center grant; Drs. Ou, Oberg, and Adjei), National Cancer Institute (NCI) grant P50CA136393 ( Mayo Clinic Specialized Programs of Research Excellence in Ovarian Cancer grant; Dr. Oberg), NCI grant P50CA102701 (Mayo Clinic Specialized Programs of Research Excellence in Pancreatic Cancer; Dr. Oberg), NCI grant U10CA180882 (Alliance Statistics and Data Management Center; Drs. Ou and Oberg), NIH grant U24CA213274 (Dr. Shyr), NIH grant U54TR002243 (Dr. Shyr), and NIH grant P30CA068485 (Dr. Shyr) Publisher Copyright: {\textcopyright} 2021 International Association for the Study of Lung Cancer",
year = "2021",
month = apr,
doi = "10.1016/j.jtho.2021.01.1616",
language = "English (US)",
volume = "16",
pages = "537--545",
journal = "Journal of Thoracic Oncology",
issn = "1556-0864",
publisher = "International Association for the Study of Lung Cancer",
number = "4",
}