Quantifying and Comparing the Accuracy of Binary Biomarkers When Predicting a Failure Time Outcome

Chaya Moskowitz and Margaret Pepe
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Chaya Moskowitz: Memorial Sloan-Kettering Cancer Center
Margaret Pepe: University of Washington

No 1061, UW Biostatistics Working Paper Series from Berkeley Electronic Press

Abstract: The positive and negative predictive value are standard measures used to quantify the predictive accuracy of binary biomarkers when the outcome being predicted is also binary. When the biomarkers are instead being used to predict a failure time outcome, there is no standard way of quantifying predictive accuracy. We propose a natural extension of the traditional predictive values to accommodate censored survival data. We discuss not only quantifying predictive accuracy using these extended predictive values, but also rigorously comparing the accuracy of two biomarkers in terms of their predictive values. Using a marginal regression framework, we describe how to estimate differences in predictive accuracy and how to test whether the observed difference is statistically significant.

Date: 2004-07-11
Note: oai:bepress.com:uwbiostat-1061
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