1/30
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
Sensitivity
Proportion of patients with the target disorder who have a positive test result
Specificity
Proportion of patients without the target disorder who have a negative test result
specificity
True negative rate
sensitivity
True positive rate
out
When sensitivity is high, a negative test rules____________ (in or out) the disorder
in
When specificity is high, a positive test rules ____________ (in or out) the disorder
negative
When sensitivity is high, a ________________ (negative or positive) test rules out the disorder
positive
When specificity is high, a ________________ (negative or positive) test rules in the disorder
Positive Likelihood Ratio (+LR)
The likelihood that a given patient has the disorder
Sensitivity / 1 - Specificity
Formula for Positive Likelihood Ratio (+LR)
Negative Likelihood Ratio (-LR)
The likelihood that a given patient does not have the disorder
1 - Sensitivity / Specificity
Formula for Negative Likelihood Ratio (-LR)
LR+
With a large ______ (LR + or -), if the test is positive, the probability that the patient has the disorder increases markedly.
LR-
With a very small ______ (LR + or -), if the test is negative, the probability that the patient has the disorder becomes much smaller
LRs
can be used to estimate the pre to post test shift in probability
pre-test probability
the likelihood that a patients exhibits a specific disorder before the clinical examination is performed
Prevalence
The ______________ rate of the condition can be used as an indication of Pre-Test Probability
LR+ >10, LR- <0.1
Likelihood ratios interpreted as large and conclusive change from pre-test to post-test probability
LR+ 5-9.9, LR- 0.1-0.29
Likelihood ratios interpreted as moderate shift from pre-test to post-test probability
LR+ 2-4.9, LR- 0.3-0.59
Likelihood ratios interpreted as small but sometimes important shift from pre-test to post-test probability
LR+ 1-1.9, LR- 0.6-1
Likelihood ratios interpreted as small and rarely important shift from pre-test to post-test probability
Nomogram
Device used to examine LR between pretest and posttest probability
reliable
results can be repeated
validity
the extent to which a test measures or predicts what it is supposed to
true
True or False? A test can be reliable and not valid
True
True or False? If a test is valid it must be reliable
ratio, interval, continuous
Date to use with ICC values
ordinal, nomical, categorial
Date to use with ICC values kappa statistics
SEM (standard error of the measure)
Error associated with a single measure
MDC (minimal detectable change)
Error associated with the change score
MCID (Minimally Clinically Important Difference)
Amount of change which represents true change to the patient