The predictive value of a diagnostic test is highlydependent upon disease prevalence. Disease preva-lence, however, varies widely from patient to patient.Since patients in whom the diagnosis is unclear arethe ones most likely to get a diagnostic test, it is help-ful to standardize the predictive value of a diagnostictest to a disease prevalence of 50%. Even more usefulwould be to present predictive values standardized todisease prevalences of 25%, 50%, and 75
BACKGROUND: Several studies and systematic reviews have reported results that indicate that sensitiv...
- A prediction rule is a statistical model that can be used to predict the presence or absence of a ...
The salient question to ask when evaluating a diagnostic test is “Does the use of this test lead to ...
Recently, Brenner and Gefeller presented calculations in which the basic e¦cacy measures of diagnost...
<p>Positive predictive value of each diagnostic method by prevalence of impairment in the simulated ...
The authors propose several measures for quantifying the change in the clinical estimate of a patien...
Diagnostic tests range from the signs and symptoms obtained from the patient’s history and physical ...
When a patient receives a positive test result from a diagnostic test they assume they have the dise...
The probability of a disease following a diagnostic test depends on the sensitivity and specificity ...
Background: Patients with infectious diseases often require the use of microbiologic diagnostic test...
Diagnostic tests are commonly evaluated from sensitivity and specificity, which are robust and indep...
Aim To address the problem of estimating disease frequency identified by a diagnostic test, which ma...
Objective: To assist clinicians and other health-care providers to understand the terms used to desc...
[[abstract]]Sensitivity and specificity describe the accuracy of a test. In a clinical setting, we d...
Most medical encounters start with the presentation of symptomns that lead to hypotheses about the d...
BACKGROUND: Several studies and systematic reviews have reported results that indicate that sensitiv...
- A prediction rule is a statistical model that can be used to predict the presence or absence of a ...
The salient question to ask when evaluating a diagnostic test is “Does the use of this test lead to ...
Recently, Brenner and Gefeller presented calculations in which the basic e¦cacy measures of diagnost...
<p>Positive predictive value of each diagnostic method by prevalence of impairment in the simulated ...
The authors propose several measures for quantifying the change in the clinical estimate of a patien...
Diagnostic tests range from the signs and symptoms obtained from the patient’s history and physical ...
When a patient receives a positive test result from a diagnostic test they assume they have the dise...
The probability of a disease following a diagnostic test depends on the sensitivity and specificity ...
Background: Patients with infectious diseases often require the use of microbiologic diagnostic test...
Diagnostic tests are commonly evaluated from sensitivity and specificity, which are robust and indep...
Aim To address the problem of estimating disease frequency identified by a diagnostic test, which ma...
Objective: To assist clinicians and other health-care providers to understand the terms used to desc...
[[abstract]]Sensitivity and specificity describe the accuracy of a test. In a clinical setting, we d...
Most medical encounters start with the presentation of symptomns that lead to hypotheses about the d...
BACKGROUND: Several studies and systematic reviews have reported results that indicate that sensitiv...
- A prediction rule is a statistical model that can be used to predict the presence or absence of a ...
The salient question to ask when evaluating a diagnostic test is “Does the use of this test lead to ...
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