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Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063233/ https://www.ncbi.nlm.nih.gov/pubmed/36996411 http://dx.doi.org/10.1371/journal.pmed.1004217 |
| _version_ | 1785017667133898752 |
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| author | Wilkinson, Lua Yi, Nengjun Mehta, Tapan Judd, Suzanne Garvey, W. Timothy |
| author_facet | Wilkinson, Lua Yi, Nengjun Mehta, Tapan Judd, Suzanne Garvey, W. Timothy |
| author_sort | Wilkinson, Lua |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10063233 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Public Library of Science |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-100632332023-03-31 Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study Wilkinson, Lua Yi, Nengjun Mehta, Tapan Judd, Suzanne Garvey, W. Timothy PLoS Med Correction Public Library of Science 2023-03-30 /pmc/articles/PMC10063233/ /pubmed/36996411 http://dx.doi.org/10.1371/journal.pmed.1004217 Text en © 2023 Wilkinson et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| spellingShingle | Correction Wilkinson, Lua Yi, Nengjun Mehta, Tapan Judd, Suzanne Garvey, W. Timothy Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study |
| title | Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study |
| title_full | Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study |
| title_fullStr | Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study |
| title_full_unstemmed | Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study |
| title_short | Correction: Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study |
| title_sort | correction: development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a bayesian logistic model: a nationwide cohort and modeling study |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063233/ https://www.ncbi.nlm.nih.gov/pubmed/36996411 http://dx.doi.org/10.1371/journal.pmed.1004217 |
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