<p>The theoretical sensitivity is the likelihood of sensitivity of the clinical rule after combining <i>n</i> tests, thus its values is depend on the individual sensitivity of each test. For example, a clinical rule combining two tests with sensitivities at 90% and 80%, respectively, the likelihood of the combined sensitivity (of the clinical rule of two tests) is calculated as 1–(1–0.90)×(1–0.80) = 0.98 or 98%. Therefore, combination of several tests will enhance the rule's sensitivity. In contrast, a clinical rule combining two tests with specificities at 80% and 70%, the likelihood of the combined specificity (of the clinical rule of two tests) will be decreased as the follow calculation: 0.80×0.70 = 0.56 or 56%.</p
This presentation summarizes an investigation into series of tests that indicate whether a subject i...
<p>Sensitivity and specificity of the different algorithms after 8, 24 and 48 weeks of therapy using...
Sensitivity of the tests among the patients having both the tests results, n = 408.</p
Objective: To assist clinicians and other health-care providers to understand the terms used to desc...
Sensitivity and specificity of diagnostic tests, probabilities of treatment success and epidemiology...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
<p>Equation for calculation of theoretical sensitivity and specificity of simple list of items rule ...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
This RLO explains how diagnostic test accuracy is described by the terms sensitivity and specificity...
<p>Detection sensitivity and specificity calculations for cortical surface measures calculated acros...
Abstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive...
<p>At a probability cut-off point of 0.45 both the sensitivity (80%) and specificity (85.3%) for thi...
<p>10 mm cut-off point was used for TST.</p><p>Specificity was calculated as number of subjects nega...
Within the context of screening tests, it is important to avoid misconceptions about sensitivity, sp...
<p>Sensitivity and specificity for quantitatively derived areas of abnormality compared to expert-de...
This presentation summarizes an investigation into series of tests that indicate whether a subject i...
<p>Sensitivity and specificity of the different algorithms after 8, 24 and 48 weeks of therapy using...
Sensitivity of the tests among the patients having both the tests results, n = 408.</p
Objective: To assist clinicians and other health-care providers to understand the terms used to desc...
Sensitivity and specificity of diagnostic tests, probabilities of treatment success and epidemiology...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
<p>Equation for calculation of theoretical sensitivity and specificity of simple list of items rule ...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
This RLO explains how diagnostic test accuracy is described by the terms sensitivity and specificity...
<p>Detection sensitivity and specificity calculations for cortical surface measures calculated acros...
Abstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive...
<p>At a probability cut-off point of 0.45 both the sensitivity (80%) and specificity (85.3%) for thi...
<p>10 mm cut-off point was used for TST.</p><p>Specificity was calculated as number of subjects nega...
Within the context of screening tests, it is important to avoid misconceptions about sensitivity, sp...
<p>Sensitivity and specificity for quantitatively derived areas of abnormality compared to expert-de...
This presentation summarizes an investigation into series of tests that indicate whether a subject i...
<p>Sensitivity and specificity of the different algorithms after 8, 24 and 48 weeks of therapy using...
Sensitivity of the tests among the patients having both the tests results, n = 408.</p