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.

Prognostic models in the clinical arena

Bolignano Davide;Torino Claudia;D'Arrigo Graziella;Zoccali Carmine;Tripepi Giovanni
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.
2012
Istituto di biomedicina e di immunologia molecolare - IBIM - Sede Palermo
Inglese
24
4
300
304
http://www.scopus.com/record/display.url?eid=2-s2.0-84871882852&origin=inward
Calibration
Discrimination
Prognosis
Prognostic models
Reclassification
6
info:eu-repo/semantics/article
262
Bolignano, Davide; MattaceRaso, Francesco; Torino, Claudia; D'Arrigo, Graziella; ElHafeez, Samar Abd; Provenzano, Fabio; Zoccali, Carmine; Tripepi, Gi...espandi
01 Contributo su Rivista::01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/302772
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