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Journal article

Visualizing and assessing discrimination in the logistic regression model.

Abstract:

Logistic regression models are widely used in medicine for predicting patient outcome (prognosis) and constructing diagnostic tests (diagnosis). Multivariable logistic models yield an (approximately) continuous risk score, a transformation of which gives the estimated event probability for an individual. A key aspect of model performance is discrimination, that is, the model's ability to distinguish between patients who have (or will have) an event of interest and those who do not (or will no...

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Publication status:
Published

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Publisher copy:
10.1002/sim.3994

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Journal:
Statistics in medicine
Volume:
29
Issue:
24
Pages:
2508-2520
Publication date:
2010-10-01
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
Source identifiers:
317867
Language:
English
Keywords:
Pubs id:
pubs:317867
UUID:
uuid:506c9734-1406-42d4-a08d-a31093e1b5f1
Local pid:
pubs:317867
Deposit date:
2013-11-16

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