<p>ROC: receiver operating characteristic. AUC: area under the curve. Walking conditions: UP = Usual pace, FP = Fast pace, SP = Slow pace, CW = count walk, AW = animal walk.</p
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).</p
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p>The area under the ROC (AUC) = 0.997 (95% confidence interval [CI] 0.991 to 1.000, <i>P</i><0.001...
<p>Receiver Operating Characteristic curve (ROC) curve associated with the logistic regression model...
<p>First model (-∙-) includes standing bouts (AUC = 0.81), second model (─) includes walking speed<s...
<p>Footnotes: Model 1: Adjusted for maternal characteristics, pregnancy related variables and risk c...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>QTc, Fridericia’s heart rate corrected QT interval; J-T<sub>peak</sub>c, heart rate corrected J-T...
<p>Prediction results by the multivariable logistic regression (LR) model using receiver operating c...
<p>ROC curve for the multiple logistic regression model for CMV serostatus using a set of selected p...
<p>(A) Parameters of each model. (B) The ROC curve of a model consisting of rs9351963+MMC+ Amrubicin...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>The AUCs of the ROC curves for the nomogram and variables from the logistic regression model in t...
<p>ROC curve for the multivariate logistic regression model predicting initial low back pain occurre...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).</p
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p>The area under the ROC (AUC) = 0.997 (95% confidence interval [CI] 0.991 to 1.000, <i>P</i><0.001...
<p>Receiver Operating Characteristic curve (ROC) curve associated with the logistic regression model...
<p>First model (-∙-) includes standing bouts (AUC = 0.81), second model (─) includes walking speed<s...
<p>Footnotes: Model 1: Adjusted for maternal characteristics, pregnancy related variables and risk c...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>QTc, Fridericia’s heart rate corrected QT interval; J-T<sub>peak</sub>c, heart rate corrected J-T...
<p>Prediction results by the multivariable logistic regression (LR) model using receiver operating c...
<p>ROC curve for the multiple logistic regression model for CMV serostatus using a set of selected p...
<p>(A) Parameters of each model. (B) The ROC curve of a model consisting of rs9351963+MMC+ Amrubicin...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>The AUCs of the ROC curves for the nomogram and variables from the logistic regression model in t...
<p>ROC curve for the multivariate logistic regression model predicting initial low back pain occurre...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>Logistic Regression Model for Reduced FA in Centrum Semiovale (ROC Curve: AUC = 0.678).</p
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
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