- Abstract:
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BACKGROUND: Prediction models are developed to aid healthcare providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision-making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Publisher copy:
- 10.1111/eci.12376
-
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- Funding agency for:
- Altman, DG
- Funding agency for:
- Altman, DG
- Publisher:
- John Wiley and Sons, Inc. Publisher's website
- Journal:
- European Journal of Clinical Investigation Journal website
- Volume:
- 45
- Issue:
- 2
- Pages:
- 204-214
- Publication date:
- 2015-02-05
- DOI:
- EISSN:
-
1365-2362
- ISSN:
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0014-2972
- URN:
-
uuid:2fd3d4e2-b05f-4dcf-a378-fdb105177aec
- Source identifiers:
-
505497
- Local pid:
- pubs:505497
- Language:
- English
- Keywords:
- Copyright holder:
- Stichting European Society for Clinical Investigation Journal Foundation
- Copyright date:
- 2015
- Notes:
- Copyright Stichting European Society for Clinical Investigation Journal Foundation
Journal article
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement.
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Funding
+ Netherlands Organization for Scientific Research
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+ Medical Research Council Prognosis Research Strategy (PROGRESS) Partnership
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