<p><b>Note.</b> 2-level mixed effect model (relatedness of measures/ subjects). <i>AUC</i> area under the ROC curve. <i>95% CI</i> 95 percent confidence interval. <i>P</i> level of statistical significance.</p><p>Predictive accuracy of lagged vs. temporal proximity models—AUC values.</p
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
*<p>p<0.05; ** p<0.01; compared with AUC of clock drawing.</p><p>The cut-offs were chosen to yield t...
<p><b>Note.</b> 3-level mixed effect model (relatedness of measures/ subjects/ Trust) adjusted for a...
<p>White bars reflect the predictive / lagged model, grey bars reflect the temporal proximity / caus...
<p>White bars reflect the predictive / lagged model, grey bars reflect the temporal proximity / caus...
Effects of the logistic mixed-effect models which included a single predictor (inputted in the model...
a<p>Prediction values were provided by Potapov et al. <a href="http://www.plosone.org/article/info:d...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Cross-correlations (<i>r</i>) and time lags (d, in brackets) between observations and predicted t...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>(A) The variation of the mean ROC area with overlap rates for TSCICA, TCICA and SCICA. (B) The va...
<p>We show the performance of the three models in terms of accuracy, brier score, and area under the...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-...
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
*<p>p<0.05; ** p<0.01; compared with AUC of clock drawing.</p><p>The cut-offs were chosen to yield t...
<p><b>Note.</b> 3-level mixed effect model (relatedness of measures/ subjects/ Trust) adjusted for a...
<p>White bars reflect the predictive / lagged model, grey bars reflect the temporal proximity / caus...
<p>White bars reflect the predictive / lagged model, grey bars reflect the temporal proximity / caus...
Effects of the logistic mixed-effect models which included a single predictor (inputted in the model...
a<p>Prediction values were provided by Potapov et al. <a href="http://www.plosone.org/article/info:d...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Cross-correlations (<i>r</i>) and time lags (d, in brackets) between observations and predicted t...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>(A) The variation of the mean ROC area with overlap rates for TSCICA, TCICA and SCICA. (B) The va...
<p>We show the performance of the three models in terms of accuracy, brier score, and area under the...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-...
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
*<p>p<0.05; ** p<0.01; compared with AUC of clock drawing.</p><p>The cut-offs were chosen to yield t...