
doi: 10.1007/bf03325262
pmid: 23238306
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.
Risk, Models, Statistical, Prognostic models, reclassification, Reclassification, calibration, Prognosis, prognostic models, Discrimination, Calibration, Humans, EMC OR-01-39-08, discrimination, Probability
Risk, Models, Statistical, Prognostic models, reclassification, Reclassification, calibration, Prognosis, prognostic models, Discrimination, Calibration, Humans, EMC OR-01-39-08, discrimination, Probability
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