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• W2024016305 abstract "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." @default.
• W2024016305 created "2016-06-24" @default.
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• W2024016305 date "2010-05-20" @default.
• W2024016305 modified "2023-09-23" @default.
• W2024016305 title "Calibrating parametric subject-specific risk estimation" @default.
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• W2024016305 doi "https://doi.org/10.1093/biomet/asq012" @default.
• W2024016305 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3412577" @default.
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