Evaluating Modeling and Validation Strategies for Tooth Loss
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- DOI 10.1177/0022034519864889
- PMID https://pubmed.ncbi.nlm.nih.gov/31361174
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/6710618
- OpenAlex ID W2966347290
- Type Article
- Language EN
- Published 30 Jul 2019
- Volume 98 (10)
- Pages 1088–1095
- Source Journal of Dental Research
- Publisher SAGE Publishing
- FWCI 5.80
- Countries 1
- Institutions 4
- Added 13 Aug 2019
- Updated 31 Oct 2026
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Evaluating Modeling and Validation Strategies for Tooth Loss
Article 2019 EN Hybrid
Prediction models learn patterns from available data (training) and are then validated on new data (testing). Prediction modeling is increasingly common in dental research. We aimed to evaluate how different model development and validation steps affect the predictive performance of tooth loss prediction models of patients with periodontitis. Two independent cohorts (627 patients, 11,651 teeth) we…
38
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26
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6
Authors
5.80
FWCI
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Joachim Krois | Charité – Universitätsmedizin … (DE) | |
| 2 | Christian Graetz | Christian-Albrechts-Universitä… (DE) | |
| 3 | Birte Holtfreter | Universitätsmedizin Greifswald (DE) Universität Greifswald (DE) | |
| 4 | P.‐G. Brinkmann | Christian-Albrechts-Universitä… (DE) | — |
| 5 | Thomas Kocher | Universitätsmedizin Greifswald (DE) Universität Greifswald (DE) | |
| 6 | Falk Schwendicke Corresponding | Charité – Universitätsmedizin … (DE) |
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