Statistical methods for the assessment of prognostic biomarkers (part II): calibration and re-classification. (Articolo in rivista)

Type
Label
  • Statistical methods for the assessment of prognostic biomarkers (part II): calibration and re-classification. (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1093/ndt/gfq046 (literal)
Alternative label
  • Tripepi G., Jager KJ., Dekker FW, Zoccali C. (2010)
    Statistical methods for the assessment of prognostic biomarkers (part II): calibration and re-classification.
    in Nephrology, dialysis, transplantation (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Tripepi G., Jager KJ., Dekker FW, Zoccali C. (literal)
Pagina inizio
  • 1402 (literal)
Pagina fine
  • 1405 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 25 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 5 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1CNR-IBIM, Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Italy, 2ERA- EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands, and 3Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands (literal)
Titolo
  • Statistical methods for the assessment of prognostic biomarkers (part II): calibration and re-classification. (literal)
Abstract
  • Calibration is the ability of a prognostic model to correctly estimate the probability of a given event across the whole range of prognostic estimates (for example, 30% probability of death, 40% probability of myocardial infarction, etc.). The key difference between calibration and discrimination is that the latter reflects the ability of a given prognostic biomarker to distinguish a status (died/survived, event/non-event), while calibration measures how much the prognostic estimation of a predictive model matches the real outcome probability (that is, the observed proportion of the event). Re-classification is another measure of prognostic accuracy and it reflects how much a new prognostic biomarker increases the proportion of individuals correctly re-classified as having or not having a given event compared to a previous classification based on an existing prognostic biomarker or predictive model. (literal)
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