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Time-dependent Predictive Values of Prognostic Biomarkers with Failure Time Outcome.

Zheng, Yingye and Cai, Tianxi and Pepe, Margaret S. and Levy, Wayne C. (2008) Time-dependent Predictive Values of Prognostic Biomarkers with Failure Time Outcome. Journal of the American Statistical Association, 103 (481). pp. 362-368. ISSN 0162-1459

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In a prospective cohort study, information on clinical parameters, tests and molecular markers is often collected. Such information is useful to predict patient prognosis and to select patients for targeted therapy. We propose a new graphical approach, the positive predictive value (PPV) curve, to quantify the predictive accuracy of prognostic markers measured on a continuous scale with censored failure time outcome. The proposed method highlights the need to consider both predictive values and the marker distribution in the population when evaluating a marker, and it provides a common scale for comparing different markers. We consider both semiparametric and nonparametric based estimating procedures. In addition, we provide asymptotic distribution theory and resampling based procedures for making statistical inference. We illustrate our approach with numerical studies and datasets from the Seattle Heart Failure Study.

Item Type: Article or Abstract
Additional Information: This article is available to subscribers only via the URL above.
DOI: 10.1198/016214507000001481
PubMed ID: 19655041
PMCID: PMC2719907
Grant Numbers: U01-CA86368, P01-CA053996
Subjects: Research Methodologies > Genomics > Molecular Markers
Research Methodologies > Mathematics and statistics
Depositing User: Library Staff
Date Deposited: 02 Sep 2009 17:44
Last Modified: 14 Feb 2012 14:42

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