The odds that the patient has the target disorder after the test is carried out (calculated as the
pre-test odds x likelihood ratio).
In screening and diagnostic tests, the probability that a person with a positive test is a true
positive (i.e., does have the disease), or that a person with a negative test truly does not have
the disease. The predictive value of a screening test is determined by the sensitivity and
specificity of the test, and by the prevalence of the condition for which the test is used.
The proportion of people with the target disorder in the population at risk at a specific time
(point prevalence) or time interval (period prevalence).
The proportion of persons with a particular disease within a given population at a given time.
Demographic, disease-specific, or co-morbid characteristics associated strongly enough with a condition's outcomes to predict accurately the eventual development of those outcomes. Compare with risk factors. Neither prognostic or risk factors necessarily imply a cause and effect relationship.
Study design where one or more groups (cohorts) of individuals who have not yet had the outcome event
in question are monitored for the number of such events which occur over time.
The probability that the difference(s) observed between two or more groups in a study would occurred
if there were no differences between the groups other than those created by random selection. Many
researchers use a probability (p-value) of less than 0.05 as the cut-off for "statistical significance",
i.e. when the sort of result seen in a study would occur by chance less than once in 20 studies.
Return to EBM Tool Kit
Medical Center Library
Duke University
Last modified on: 16-Dec-04