Journal article
Assessing calibration in an external validation study
- Abstract:
- Evaluating a prediction model using a separate dataset from which the model was developed is a crucial step in assessing its predictive performance, often referred to as external validation. The recent study by Tetrault and colleagues modified their previous prediction model by omitting one of the predictors and then re-fitting the model on the original development data from 12 sites from North America. The modified prediction model was subsequently evaluated on a larger international cohort from the AOSpine CSM-I trial. Whilst it is encouraging to see authors carrying out such external validation studies, there are concerns in the analysis which need highlighting.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Preview, Accepted manuscript, pdf, 169.5KB, Terms of use)
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- Publisher copy:
- 10.1016/j.spinee.2015.06.043
Authors
- Publisher:
- Elsevier
- Journal:
- Spine Journal More from this journal
- Volume:
- 15
- Issue:
- 11
- Pages:
- 2446-2447
- Publication date:
- 2015-11-01
- Acceptance date:
- 2015-06-12
- DOI:
- EISSN:
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1878-1632
- ISSN:
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1529-9430
- Language:
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English
- Pubs id:
-
pubs:575786
- UUID:
-
uuid:f3a1e7dd-bf19-4829-ac01-36b5e50d8ec1
- Local pid:
-
pubs:575786
- Source identifiers:
-
575786
- Deposit date:
-
2016-01-20
Terms of use
- Copyright holder:
- Elsevier
- Copyright date:
- 2015
- Notes:
- © 2015 Elsevier Inc. All rights reserved. This is the accepted manuscript version of the article. The final version is available from Elsevier at: https://doi.org/10.1016/j.spinee.2015.06.043
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