pv.rpv: Comparison of Predictive Values using Relative Predictive...

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

Comparison of Predictive Values using Relative Predictive Values

Description

Performs a test for differences in (positive and negative) predictive values of two binary diagnostic tests in a paired study design using relative predictive values, as proposed by Moskowitz and Pepe (2006).

Usage

pv.rpv(tab, alpha)

Arguments

tab	An object of class tab.paired.
alpha	Significance level alpha used to compute 100(1-alpha)%-confidence intervals, the default is 0.05.

Value

A list containing:

ppv	named vector containing test1 (the positive predictive value of test 1), test2 (the positive predictive value of test 2), rppv (the relative positive predictive value, computed as test2 / test1), se.log.rppv (the standard error of the logarithm of rppv), lcl.rppv (lower confidence limit of rppv), ucl.rppv (the upper confidence limit of rppv), the test.statistic and the corresponding p.value.
npv	named vector containing test1 (the negative predictive value of test 1), test2 (the negative predictive value of test 2), rnpv (the relative negative predictive value, computed as test2 / test1), se.log.rnpv (the standard error of the logarithm of rnpv), lcl.rnpv (the lower confidence limit of rnpv), ucl.rnpv (the upper confidence limit of rnpv), the test.statistic and the corresponding p.value.
Sigma	Estimated variance-covariance matrix for {log(relative positive predictive value), log(relative negative predictive value)}.
method	Name of the method used to compare predictive values, here “relative predictive values (rpv)”.
alpha	Significance level alpha used to compute 100(1-alpha)%-confidence intervals for rppv and rnpv, the default is 0.05.

References

Moskowitz, C.S., and Pepe, M.S. (2006). Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs. Clin Trials, 3(3):272-9.

See Also

pv.gs and pv.wgs.

Examples

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

DTComPair documentation built on Sept. 24, 2024, 5:08 p.m.