Calibrating parametric subject-specific risk estimation
For modern evidence-based medicine, decisions on disease prevention or management strategies are often guided by a risk index system. For each individual, the system uses his/her baseline information to estimate the risk of experiencing a future disease-related clinical event. Such a risk scoring scheme is usually derived from an overly simplified parametric model. To validate a model-based procedure, one may perform a standard global evaluation via, for instance, a receiver operating characteristic analysis. In this article, we propose a method to calibrate the risk index system at a subject level. Specifically, we developed point and interval estimation procedures for t-year mortality rates conditional on the estimated parametric risk score. The proposals are illustrated with a dataset from a large clinical trial with post-myocardial infarction patients. Copyright 2010, Oxford University Press.
Year of publication: |
2010
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Authors: | Cai, T. ; Tian, L. ; Uno, Hajime ; Solomon, Scott D. ; Wei, L. J. |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 97.2010, 2, p. 389-404
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Publisher: |
Biometrika Trust |
Saved in:
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