Biomarkers and surrogate end points—the challenge of statistical validation

@article{Buyse2010BiomarkersAS,
  title={Biomarkers and surrogate end points—the challenge of statistical validation},
  author={Marc E. Buyse and Daniel J. Sargent and Axel F Grothey and Alastair Matheson and Aimery de Gramont},
  journal={Nature Reviews Clinical Oncology},
  year={2010},
  volume={7},
  pages={309-317}
}
Biomarkers and surrogate end points have great potential for use in clinical oncology, but their statistical validation presents major challenges, and few biomarkers have been robustly confirmed. Provisional supportive data for prognostic biomarkers, which predict the likely outcome independently of treatment, is possible through small retrospective studies, but it has proved more difficult to achieve robust multi-site validation. Predictive biomarkers, which predict the likely response of… CONTINUE READING
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