1. benefit 30%, harm = 5%, threshold = 17% (- - -), 2. benefit 40%, harm = 5%, threshold = 12.5% (--), 3. benefit 10%, harm = 1%, threshold = 12.5% (--), 4. benefit 50%, harm = 20%, threshold = 40% (----).<p><b>Copyright information:</b></p><p>Taken from "A decision-analytic approach to define poor prognosis patients: a case study for non-seminomatous germ cell cancer patients"</p><p>http://www.biomedcentral.com/1472-6947/8/1</p><p>BMC Medical Informatics and Decision Making 2008;8():1-1.</p><p>Published online 3 Jan 2008</p><p>PMCID:PMC2266916.</p><p></p
Thresholds for medical decision making are the probabilities of disease at which clinicians choose t...
For people interested in risk management, medical activity represents a stimulating field of study a...
Background: Classification systems may be useful to direct more aggressive treatment to cancer patie...
INTRODUCTION: Treatment thresholds based on risk predictions can be optimized by considering various...
£<p>The number of patients that have a RS of less than the chosen threshold.</p>€<p>The number of ca...
<p>Cartoon illustrating two distinct, unrelated, values that are both called “threshold”. The statis...
BACKGROUND: Clinical prediction models are useful in estimating a patient's risk of having a certain...
Background The European Society for Medical Oncology (ESMO) has developed the ESMO Magnitude of Clin...
Risk attitudes include risk aversion as well as higher-order risk preferences such as prudence and t...
Treatment thresholds based on risk predictions can be optimized by considering various health (econo...
A balanced hazard ratio for risk group evaluation from survival data Samuel Branders a and Pierre Du...
International audienceDefining thresholds of prognostic markers is essential for stratified medicine...
Most of the methodological literature on evaluating an additional marker for risk prediction involve...
Diagnosis and treatment is a complex interaction of subjective information and impressions, objectiv...
<p>3a: Cost-effectiveness-acceptability curves. For each strategy, the probability of being cost-eff...
Thresholds for medical decision making are the probabilities of disease at which clinicians choose t...
For people interested in risk management, medical activity represents a stimulating field of study a...
Background: Classification systems may be useful to direct more aggressive treatment to cancer patie...
INTRODUCTION: Treatment thresholds based on risk predictions can be optimized by considering various...
£<p>The number of patients that have a RS of less than the chosen threshold.</p>€<p>The number of ca...
<p>Cartoon illustrating two distinct, unrelated, values that are both called “threshold”. The statis...
BACKGROUND: Clinical prediction models are useful in estimating a patient's risk of having a certain...
Background The European Society for Medical Oncology (ESMO) has developed the ESMO Magnitude of Clin...
Risk attitudes include risk aversion as well as higher-order risk preferences such as prudence and t...
Treatment thresholds based on risk predictions can be optimized by considering various health (econo...
A balanced hazard ratio for risk group evaluation from survival data Samuel Branders a and Pierre Du...
International audienceDefining thresholds of prognostic markers is essential for stratified medicine...
Most of the methodological literature on evaluating an additional marker for risk prediction involve...
Diagnosis and treatment is a complex interaction of subjective information and impressions, objectiv...
<p>3a: Cost-effectiveness-acceptability curves. For each strategy, the probability of being cost-eff...
Thresholds for medical decision making are the probabilities of disease at which clinicians choose t...
For people interested in risk management, medical activity represents a stimulating field of study a...
Background: Classification systems may be useful to direct more aggressive treatment to cancer patie...