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

The authors developed the model coefficients, which included the following variables and units: Blood Glucose (mg/dL), HDL cholesterol (mg/dL), Triglycerides (mg/dL) BMI (kg/m^2), blood pressure (mmHg), with an alternative model including waist circumference (cm). In the published article, however, these were converted to SI units. This was done without changing the coefficients of the model (i.e., equation) as listed in S2 Table.

To use the model correctly using the coefficients published, the user must input variables using conventional units, rather than the units published.

1. Wilkinson L, Yi N, Mehta T, Judd S, Garvey WT (2020) 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. PLoS Med 17(8): e1003232. https://doi.org/10.1371/journal.pmed.1003232 pmid:32764746

Citation: Wilkinson L, Yi N, Mehta T, Judd S, Garvey WT (2023) 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. PLoS Med 20(3): e1004217. https://doi.org/10.1371/journal.pmed.1004217

Published: March 30, 2023

Copyright: © 2023 Wilkinson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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