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Characteristics of Biomarkers on Predictive Ability of Risk Models in Development and Validation Populations

Author

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  • Suman Kundu

    (Department of Cardiovascular Medicine, Vanderbilt University Medical Center, USA)

Abstract

Prediction models are increasingly important for clinical decision making. For example, the predicted risk of an outcome may guide for a treatment initiation: high risks may lead to starting treatment, whereas for low risks treatments may be withheld or delayed. For several common complex diseases including different forms of cancer, diabetes, and cardiovascular disease, a number of prediction models have been developed in various populations.

Suggested Citation

  • Suman Kundu, 2017. "Characteristics of Biomarkers on Predictive Ability of Risk Models in Development and Validation Populations," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(1), pages 7-8, February.
    • Handle: RePEc:adp:jbboaj:v:1:y:2017:i:1:p:7-8
    DOI: 10.19080/BBOAJ.2017.01.555552
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