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Evaluation of a surrogate marker: validity and efficiency
Author(s) -
Qu Yongming
Publication year - 2012
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.5672
Subject(s) - surrogate endpoint , surrogate data , surrogate model , clinical endpoint , computer science , medicine , machine learning , clinical trial , physics , quantum mechanics , nonlinear system
Statistical validation of a surrogate endpoint or surrogate marker has been studied for three decades. However, there is still no consensus on how to evaluate surrogate endpoints or surrogate markers. There is much confusion on which method should be used for the evaluation of a surrogate endpoint or surrogate marker. In this article, we clarify the statistical definitions of the surrogate endpoint and surrogate marker and introduce the concept of the validity and efficiency of a surrogate marker. We suggest the proportion of information gain can be used to evaluate the validity of a surrogate marker. Copyright © 2012 John Wiley & Sons, Ltd.