Publication Date:
2012
abstract:
Making a prognosis is to predict the course of a disease and estimate the probability (or risk) of the appearance of a given outcome in relationship to clinical or non-clinical characteristics. Prognostic assessment is usually modelled by multivariable mathematic equations (prognostic models). In this article we describe what a prognostic model is, how to build a good one, why and how it is important to evaluate its generalizability and accuracy by means of discrimination, calibration and reclassification. ©2012, Editrice Kurtis.
Iris type:
01.01 Articolo in rivista
Keywords:
Calibration; Discrimination; Prognosis; Prognostic models; Reclassification
List of contributors:
Provenzano, PASQUALE FABIO; Zoccali, Carmine; Tripepi, GIOVANNI LUIGI; Torino, Claudia; D'Arrigo, Graziella; Bolignano, Davide
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