<p>For different cut-off values of the predicted risk, the prevalence of having an equal or higher risk, the sensitivity of this cut-off value, and the positive predictive value are plotted.</p
Sensitivity (recall); NPV: Negative predictive value; PPV: positive predictive value (precision).</p
These results are similar to those presented in Fig 2, except that the decision to publish takes the...
<p>model 1: 20 variables; model 2: 10 variables;</p>1<p>Youden Index method,</p>2<p>Cut-off at LR<su...
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
<p>The colour of the points indicates the study. Vertical and horizontal lines show the 95% confiden...
<p>The cut-off with the highest combination of sensitivity and specificity was a risk cut-off value ...
<p>(a) Receiver-operator curve (ROC) analysis plot of the true positives plotted as a function of th...
<p>Hazard ratios of each variable and comparing the predictive accuracy of the models.</p
<p>Performance measures of the models, both discriminatory power (ability to identify patients at in...
Evaluating the performance of models predicting a binary outcome can be done using a variety of meas...
<p>PPV, positive predictive value; NPV, negative predictive value; PLR, positive likelihood ratio te...
Scenario descriptions, parameter combinations and the Analytical column are adapted directly from Io...
Logistic regression model of the impact of setting, prevention level, and study design on the odds t...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
<p>Tests “AUC<0.5 vs. AUC>0.5”, “AUC<0.7 vs. AUC>0.7”, “Likelihood ratio<1 vs. Likelihood ratio>1”, ...
Sensitivity (recall); NPV: Negative predictive value; PPV: positive predictive value (precision).</p
These results are similar to those presented in Fig 2, except that the decision to publish takes the...
<p>model 1: 20 variables; model 2: 10 variables;</p>1<p>Youden Index method,</p>2<p>Cut-off at LR<su...
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
<p>The colour of the points indicates the study. Vertical and horizontal lines show the 95% confiden...
<p>The cut-off with the highest combination of sensitivity and specificity was a risk cut-off value ...
<p>(a) Receiver-operator curve (ROC) analysis plot of the true positives plotted as a function of th...
<p>Hazard ratios of each variable and comparing the predictive accuracy of the models.</p
<p>Performance measures of the models, both discriminatory power (ability to identify patients at in...
Evaluating the performance of models predicting a binary outcome can be done using a variety of meas...
<p>PPV, positive predictive value; NPV, negative predictive value; PLR, positive likelihood ratio te...
Scenario descriptions, parameter combinations and the Analytical column are adapted directly from Io...
Logistic regression model of the impact of setting, prevention level, and study design on the odds t...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
<p>Tests “AUC<0.5 vs. AUC>0.5”, “AUC<0.7 vs. AUC>0.7”, “Likelihood ratio<1 vs. Likelihood ratio>1”, ...
Sensitivity (recall); NPV: Negative predictive value; PPV: positive predictive value (precision).</p
These results are similar to those presented in Fig 2, except that the decision to publish takes the...
<p>model 1: 20 variables; model 2: 10 variables;</p>1<p>Youden Index method,</p>2<p>Cut-off at LR<su...
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