<p><b>(A)</b> In MetS cohort, the final risk model predicted the recovery from MetS. <b>(B)</b> The final score predicted subsequent MetS in the whole population without MetS at enrollment. <b>(C)</b> Calibration plots for prediction of recovery from MetS in the prevalent MetS population at enrollment were good with an intercept of 0.95, a slope of 0.96, and an R<sup>2</sup> of 97% (p <0.001). <b>(D)</b> The final score demonstrated good calibration for predicting incident MetS in the whole population with an intercept of 0.69, a slope of 0.95, and an R<sup>2</sup> of 98% (p <0.001). Abbreviations as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133884#pone.0133884.g001" target="_blank">Fig 1</a>.</p
Abstract: Receiver Operating Characteristic (ROC) curve analysis has traditionally dealt with dichot...
<p>Cumulative survival curves for patients with 0, 1 or 2 of the risk factors that were confirmed by...
<p>Receiver operating characteristic (ROC) curve for prediction of melanoma risk based on age and se...
<p>Final risk scores for incident MetS were calculated for each individual participant in the entire...
<p>(A) Receiver operating characteristic curves for the GWTG—HF risk score (broken line) and total i...
<p><i>MPM<sub>0</sub>-III = Mortality Probability Admission Model, version III. R-MPM = Rwanda Morta...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Receiver operating characteristic curve analysis of the predictive accuracy of the models to pred...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
The online version of this article, along with updated information and services, is located on th
located on the World Wide Web at: The online version of this article, along with updated information...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>The final score had a significantly larger area under the curve compared with the area obtained u...
<p>*Odds ratios to predict recovery from MetS (e.g. Odds ratio<1 means less likely to be recovered s...
Receiver operating characteristic curves for our predictive rehospitalization risk score and LACE sc...
Abstract: Receiver Operating Characteristic (ROC) curve analysis has traditionally dealt with dichot...
<p>Cumulative survival curves for patients with 0, 1 or 2 of the risk factors that were confirmed by...
<p>Receiver operating characteristic (ROC) curve for prediction of melanoma risk based on age and se...
<p>Final risk scores for incident MetS were calculated for each individual participant in the entire...
<p>(A) Receiver operating characteristic curves for the GWTG—HF risk score (broken line) and total i...
<p><i>MPM<sub>0</sub>-III = Mortality Probability Admission Model, version III. R-MPM = Rwanda Morta...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Receiver operating characteristic curve analysis of the predictive accuracy of the models to pred...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
The online version of this article, along with updated information and services, is located on th
located on the World Wide Web at: The online version of this article, along with updated information...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>The final score had a significantly larger area under the curve compared with the area obtained u...
<p>*Odds ratios to predict recovery from MetS (e.g. Odds ratio<1 means less likely to be recovered s...
Receiver operating characteristic curves for our predictive rehospitalization risk score and LACE sc...
Abstract: Receiver Operating Characteristic (ROC) curve analysis has traditionally dealt with dichot...
<p>Cumulative survival curves for patients with 0, 1 or 2 of the risk factors that were confirmed by...
<p>Receiver operating characteristic (ROC) curve for prediction of melanoma risk based on age and se...