Diagnosis II
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Interpretation and Revision of Diagnostic Test Performance, Slides of Public Health
Information on the interpretation of diagnostic data using conditional probabilities and calculating predictive values based on prevalence. It includes tables for calculating true positives, false positives, true negatives, and false negatives, as well as formulas for calculating disease-free individuals, diseased individuals, and revising estimates of diagnostic test performance.
Typology: Slides
2012/2013
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Diagnosis II
Conditional Probabilities
(T
(T
-^ )
(D
True
Positive
(D
-^ )
False
Negative
True
Negative
FalsePositive
Gold Standard
Clinical
Test
I
nterpretation of Diagnostic
Data
(T
(T
(D
+ ) A
(D
C^
B^ D
P (T
-^
^
D
P (T
-^
^
D
+^ )
OR C / (A + C)D / (B + D)
I
nterpretation of Diagnostic
Data
(T
(T
(D
+ ) A
(D
C^
B^ D
(A + D)
I
nterpretation of Diagnostic
Data
(T
(T
(D
+ ) A
(D
C^
B^ D
P ( D
-^
^
T^
-^ )
(C + D)
OR D
Revising Estimates of
Diagnostic Test Performance (T
(T
(D
(D
(^2281292)
- Select an arbitrary sample size.2. Based on prevalence, calculate the 1600
diseased individuals.
- Calculate the disease-free individuals.4. Calculate D
+^ based on fixed sensitivity.
- Calculate D -^ based on fixed specificity.
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