Biomarker Discovery and Validation: Statistical Considerations

Biomarker Discovery and Validation: Statistical Considerations

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 d...

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Veröffentlicht in:Journal of thoracic oncology 2021-04, Vol.16 (4), p.537-545
Hauptverfasser: Ou, Fang-Shu, Michiels, Stefan, Shyr, Yu, Adjei, Alex A., Oberg, Ann L.
Format: Artikel
Sprache:eng
Schlagworte:
Biomarker
Biomarkers
Biomedical Research
Clinical trial
Confirmation analysis
Exploratory analysis
Humans
Lung Neoplasms
Precision Medicine
Prognosis
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Zusammenfassung: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.
ISSN:1556-0864
1556-1380
DOI:10.1016/j.jtho.2021.01.1616