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Publication Detail

Title: On comparing 2 correlated C indices with censored survival data.

Authors: Han, Xiaoxia; Zhang, Yilong; Shao, Yongzhao

Published In Stat Med, (2017 Nov 10)

Abstract: As new biomarkers and risk prediction procedures are in rapid development, it is of great interest to develop valid methods for comparing predictive power of 2 biomarkers or risk score systems. Harrell C statistic has been routinely used as a global adequacy assessment of a risk score system, and the difference of 2 Harrell C statistics as a test statistic has been suggested in recent literature for comparison of predictive power of 2 biomarkers for censored outcome. In this study, we showed that such a test can have severely inflated type I errors as the difference between the 2 Harrell C statistics does not converge to zero under the null hypothesis of equal predictive power measured by concordance probabilities, as illustrated by 2 counterexamples and corresponding numerical simulations. We further investigate a necessary and sufficient condition under which the difference of 2 Harrell C statistics converges to zero under the null hypothesis.

PubMed ID: 28758216 Exiting the NIEHS site

MeSH Terms: Bayes Theorem; Bias*; Biomarkers; Biometry/methods; Data Interpretation, Statistical*; Humans; Probability; Risk Assessment/methods; Statistics, Nonparametric; Survival Analysis*

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