<p>The comparison of AUC (A) and accuracy (B) for three datasets: Different coloring schemes and shape indicate three independent datasets (orange circle: German dataset; blue diamond: Barrier dataset; green square: GSE5206 dataset). TX_Y methods (X: top 500 or 1000 MDMs; Y: 10 or 18 reference tumors or Leave-One-Out method (LOO)). The filled symbols denote the mean of AUCs; The comparison of accuracies(C), sensitivities (D) and specificities (E) for prognosis prediction between our method and present methods with same datasets, including the LOO results from Lin07 (L) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0033653#pone.0033653-Lin1" target="_blank">[3]</a>, Garman08 (G) <a href="http://www.plosone.org/article...
Top panel: Area under the ROC curve (AUC), Bottom panel: Accuracy. Results are stratified by groups ...
<p>Performance is measured by area under the curve (AUC), where a higher value indicates better perf...
Although the area under the receiver operating characteristic (AUC) is the most popular measure of t...
7Purpose: Prediction algorithms estimating survival rates for breast cancer (BC) based upon risk fac...
Purpose: To compare PREDICT and CancerMath, two widely used prognostic models for invasive breast ca...
Introduction: Prognostic scores are important tools in oncology to facilitate clinical decision-maki...
<p>Note: T values and accompanying 2-tail P values refer to reductions in mean absolute probabilisti...
<p>Comparison of area under the receiver operating characteristic curve (AUC) values for the predict...
International audienceFinding out biomarkers and building risk scores to predict the occurrence of s...
textabstractThe performance of prediction models can be assessed using a variety of methods and metr...
<p>Note: T values and accompanying 2-tail P values refer to reductions in mean absolute probabilisti...
<p>AUC<sup>a</sup>: area under the receiver operating characteristic curves.</p><p>SEER<sup>b</sup>:...
The performance of prediction models can be assessed using a variety of methods and metrics. Traditi...
Objectives: Using the prediction of cancer outcome as a model, we have tested the hypothesis that th...
Background Describe and evaluate the methodological conduct of prognostic prediction models develope...
Top panel: Area under the ROC curve (AUC), Bottom panel: Accuracy. Results are stratified by groups ...
<p>Performance is measured by area under the curve (AUC), where a higher value indicates better perf...
Although the area under the receiver operating characteristic (AUC) is the most popular measure of t...
7Purpose: Prediction algorithms estimating survival rates for breast cancer (BC) based upon risk fac...
Purpose: To compare PREDICT and CancerMath, two widely used prognostic models for invasive breast ca...
Introduction: Prognostic scores are important tools in oncology to facilitate clinical decision-maki...
<p>Note: T values and accompanying 2-tail P values refer to reductions in mean absolute probabilisti...
<p>Comparison of area under the receiver operating characteristic curve (AUC) values for the predict...
International audienceFinding out biomarkers and building risk scores to predict the occurrence of s...
textabstractThe performance of prediction models can be assessed using a variety of methods and metr...
<p>Note: T values and accompanying 2-tail P values refer to reductions in mean absolute probabilisti...
<p>AUC<sup>a</sup>: area under the receiver operating characteristic curves.</p><p>SEER<sup>b</sup>:...
The performance of prediction models can be assessed using a variety of methods and metrics. Traditi...
Objectives: Using the prediction of cancer outcome as a model, we have tested the hypothesis that th...
Background Describe and evaluate the methodological conduct of prognostic prediction models develope...
Top panel: Area under the ROC curve (AUC), Bottom panel: Accuracy. Results are stratified by groups ...
<p>Performance is measured by area under the curve (AUC), where a higher value indicates better perf...
Although the area under the receiver operating characteristic (AUC) is the most popular measure of t...