Journal article
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist
- Abstract:
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The increasing availability of large combined datasets (or big data), such as those from electronic health records and from individual participant data meta-analyses, provides new opportunities and challenges for researchers developing and validating (including updating) prediction models. These datasets typically include individuals from multiple clusters (such as multiple centres, geographical locations, or different studies). Accounting for clustering is important to avoid misleading concl...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 312.5KB, Terms of use)
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- Publisher copy:
- 10.1136/bmj-2022-071018
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Funding
Bibliographic Details
- Publisher:
- BMJ Publishing Group
- Journal:
- BMJ More from this journal
- Volume:
- 380
- Article number:
- e071018
- Place of publication:
- England
- Publication date:
- 2023-02-07
- Acceptance date:
- 2022-08-09
- DOI:
- EISSN:
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1756-1833
- ISSN:
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0959-8138
- Pmid:
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36750242
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1331678
- Local pid:
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pubs:1331678
- Deposit date:
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2024-01-26
Terms of use
- Copyright date:
- 2023
- Rights statement:
- This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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