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Surrogate endpoint validation: statistical elegance versus clinical relevanceDivision of Biostatistics, Mayo Clinic, Rochester, MN, USA,
NSABP Statistical Center, Pittsburgh, PA, USA
Division of Biostatistics, Mayo Clinic, Rochester, MN, USA, sargent.daniel{at}mayo.edu A variety of approaches have been proposed to provide formal and informal validation of proposed surrogate markers. To achieve true clinical impact, the validation must convince both the statistical and clinical communities. In this paper, we argue that the best approach is not a single method but a multi-faceted exploration, using multiple approaches, including those that directly appeal to clinicians but with less statistical foundation and those arising from statistical considerations but more difficult to interpret clinically. We illustrate our approach using data from clinical trials in both early and advanced colorectal cancer.
This version was published on October
1, 2008 Statistical Methods in Medical Research, Vol. 17, No. 5,
477-486 (2008) This article has been cited by other articles:
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