Literature DB >> 26109105

Sensitivity, Specificity, PPV, and NPV for Predictive Biomarkers.

Richard Simon1.   

Abstract

Molecularly targeted cancer drugs are often developed with companion diagnostics that attempt to identify which patients will have better outcome on the new drug than the control regimen. Such predictive biomarkers are playing an increasingly important role in precision oncology. For diagnostic tests, sensitivity, specificity, positive predictive value, and negative predictive are usually used as performance measures. This paper discusses these indices for predictive biomarkers, provides methods for their calculation with survival or response endpoints, and describes assumptions involved in their use. Published by Oxford University Press 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

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Year:  2015        PMID: 26109105      PMCID: PMC4609556          DOI: 10.1093/jnci/djv153

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


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