| Autor: |
Köbberling, J., Richter, K., Tillil, H. |
| Zdroj: |
Klinische Wochenschrift; Jun1984, Vol. 62 Issue 12, p586-592, 7p |
| Abstrakt: |
According to Bayes' rule the predictive value (PV) of a diagnostic test (= probability of disease if the test is positive) depends on the prevalence of the disease (= a priori probability), the sensitivity ( c) and the specificity ( c) of the test. A new variable has been introduced, the predictive factor ( c), which is calculated as follows: c= c/( c+1− c). Since the PV only depends on this factor and on the prevalence, the calculation is much easier and a general graphical solution is possible. This simplification renders several additional advantages and facilitates the understanding of the dependence of PV on prevalence. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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