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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.

SUBMITTER: Ou FS 

PROVIDER: S-EPMC8012218 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Biomarker Discovery and Validation: Statistical Considerations.

Ou Fang-Shu FS   Michiels Stefan S   Shyr Yu Y   Adjei Alex A AA   Oberg Ann L AL  

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 20210202 4


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  ...[more]

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