<p>For each type of relationship, 10 simulations were conducted, and the 10 apparently-optimal thresholds derived from Kaplan Mayer analysis were found. They are shown by vertical arrows (where multiple arrows would have been superimposed, they have been placed one above another).</p
<p>The variables are ordered by increasing p-values. Overall 10% of the random variables are statist...
1. benefit 30%, harm = 5%, threshold = 17% (- - -), 2. benefit 40%, harm = 5%, threshold = 12.5% (--...
Top 15 risk factor variables for predicting mortality listed in descending order of “importance” by ...
<p>Sub-populations with different ranges of risk simulating a shift in the mean peak VO<sub>2</sub> ...
<p>Cartoon illustrating two distinct, unrelated, values that are both called “threshold”. The statis...
Clinicians are sometimes advised to make decisions using thresholds in measured variables, derived f...
International audienceDefining thresholds of prognostic markers is essential for stratified medicine...
Treatment thresholds based on risk predictions can be optimized by considering various health (econo...
<p>Survival curves based on Kaplan-Meier estimates of (a) overall survival and (b) disease-specific ...
<p>NA = not available; N = not enough events to calculate upper 95% CI boundary; NS = not significan...
<p>The 138 patients who died from melanoma were divided into four groups (see <a href="http://www.pl...
A balanced hazard ratio for risk group evaluation from survival data Samuel Branders a and Pierre Du...
INTRODUCTION: Treatment thresholds based on risk predictions can be optimized by considering various...
Common clinical studies assess the quality of prognostic factors, such as gene expression signatures...
Observed mortality (%) vs. predicted risk of mortality for all the classification algorithms under s...
<p>The variables are ordered by increasing p-values. Overall 10% of the random variables are statist...
1. benefit 30%, harm = 5%, threshold = 17% (- - -), 2. benefit 40%, harm = 5%, threshold = 12.5% (--...
Top 15 risk factor variables for predicting mortality listed in descending order of “importance” by ...
<p>Sub-populations with different ranges of risk simulating a shift in the mean peak VO<sub>2</sub> ...
<p>Cartoon illustrating two distinct, unrelated, values that are both called “threshold”. The statis...
Clinicians are sometimes advised to make decisions using thresholds in measured variables, derived f...
International audienceDefining thresholds of prognostic markers is essential for stratified medicine...
Treatment thresholds based on risk predictions can be optimized by considering various health (econo...
<p>Survival curves based on Kaplan-Meier estimates of (a) overall survival and (b) disease-specific ...
<p>NA = not available; N = not enough events to calculate upper 95% CI boundary; NS = not significan...
<p>The 138 patients who died from melanoma were divided into four groups (see <a href="http://www.pl...
A balanced hazard ratio for risk group evaluation from survival data Samuel Branders a and Pierre Du...
INTRODUCTION: Treatment thresholds based on risk predictions can be optimized by considering various...
Common clinical studies assess the quality of prognostic factors, such as gene expression signatures...
Observed mortality (%) vs. predicted risk of mortality for all the classification algorithms under s...
<p>The variables are ordered by increasing p-values. Overall 10% of the random variables are statist...
1. benefit 30%, harm = 5%, threshold = 17% (- - -), 2. benefit 40%, harm = 5%, threshold = 12.5% (--...
Top 15 risk factor variables for predicting mortality listed in descending order of “importance” by ...