<p>(A) Reliability diagram: observed vs predicted fall rate, obtained from grouping samples according to deciles on the risk score; error bars indicate 95% confidence intervals. (B) Marginal calibration plot: observed and predicted number of samples vs number of falls. (C) Histogram of the probability integral transform.</p
Calibration curve relating observed and predicted bleeding rates across deciles of risk in A. Deriva...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
We study the degrees of freedom of the Lasso in the framework of Stein's unbiased risk estimati...
<p>Histogram showing the predictive distributions (probability mass functions) on the number of fall...
<p>This figure plots the average cross-validation error as the number of markers are varied. Each da...
<p>Illustrative scheme of the 10-fold cross validation procedure. During the 10 iterations each samp...
January 2014–September 2016 shows predicted complication rates of the training data, and October 201...
<p>Calibration plots between model-predicted and observed (LOESS smoothed) probabilities, for (a) en...
On the x-axis are the predicted probabilities and on the y-axis the observed probabilities. A perfec...
<p>From left to right at the first row: The image plot of the real Θ and empirical Bayes estimate. O...
(A) ROC curves of the human same-prediction result from ten-fold cross validation. Solid lines repre...
<p>ROC curves of the Lasso model and the other risk indicators (number of previous falls, gait speed...
Objective: Calibrated risk models are vital for valid decision support. We define four levels of cal...
<p>Calibration plots showing the relationship between the predicted probability of occurrence for th...
<p>A. Histogram of p-values used by predictors in LASSO4. X-axis shows the–Log<sub>10</sub> of the p...
Calibration curve relating observed and predicted bleeding rates across deciles of risk in A. Deriva...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
We study the degrees of freedom of the Lasso in the framework of Stein's unbiased risk estimati...
<p>Histogram showing the predictive distributions (probability mass functions) on the number of fall...
<p>This figure plots the average cross-validation error as the number of markers are varied. Each da...
<p>Illustrative scheme of the 10-fold cross validation procedure. During the 10 iterations each samp...
January 2014–September 2016 shows predicted complication rates of the training data, and October 201...
<p>Calibration plots between model-predicted and observed (LOESS smoothed) probabilities, for (a) en...
On the x-axis are the predicted probabilities and on the y-axis the observed probabilities. A perfec...
<p>From left to right at the first row: The image plot of the real Θ and empirical Bayes estimate. O...
(A) ROC curves of the human same-prediction result from ten-fold cross validation. Solid lines repre...
<p>ROC curves of the Lasso model and the other risk indicators (number of previous falls, gait speed...
Objective: Calibrated risk models are vital for valid decision support. We define four levels of cal...
<p>Calibration plots showing the relationship between the predicted probability of occurrence for th...
<p>A. Histogram of p-values used by predictors in LASSO4. X-axis shows the–Log<sub>10</sub> of the p...
Calibration curve relating observed and predicted bleeding rates across deciles of risk in A. Deriva...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
We study the degrees of freedom of the Lasso in the framework of Stein's unbiased risk estimati...