pv.wgs: Weighted Generalized Score Statistic for Comparison of...

In DTComPair: Comparison of Binary Diagnostic Tests in a Paired Study Design

Weighted Generalized Score Statistic for Comparison of Predictive Values

Description

Performs a test for differences in (positive and negative) predictive values of two binary diagnostic tests using a weighted generalized score statistic proposed by Kosinski (2013).

Usage

pv.wgs(tab)

Arguments

tab	An object of class tab.paired.

Value

A list containing:

ppv	A list with test1 (the positive predictive value of test 1), test2 (the positive predictive value of test 2), diff (the difference in positive predictive values, computed as test2 - test1, the test.statistic and the corresponding p.value.
npv	A list with test1 (the negative predictive value of test 1), test2 (the negative predictive value of test 2), diff (the difference in negative predictive values, computed as test2 - test1, the test.statistic and the corresponding p.value.
method	The name of the method used to compare predictive values, here “weighted generalized score statistic (wgs)”.

References

Kosinski, A.S. (2013). A weighted generalized score statistic for comparison of predictive values of diagnostic tests. Stat Med, 32(6):964-77.

See Also

pv.gs and pv.rpv.

Examples

data(Paired1) # Hypothetical study data
ftable(Paired1)
paired.layout <- tab.paired(d=d, y1=y1, y2=y2, data=Paired1)
paired.layout 
wgs.results <- pv.wgs(paired.layout)
str(wgs.results)
wgs.results
wgs.results$ppv["p.value"]

DTComPair documentation built on Aug. 20, 2023, 5:06 p.m.