acc.paired: Accuracy of Two Binary Diagnostic Tests in a Paired Study...

Description Usage Arguments Details Value References See Also Examples

Description

Sensitivity and specificity, (positive and negative) predictive values and (positive and negative) diagnostic likelihood ratios of a two binary diagnostic tests in a paired study design.

Usage

1
acc.paired(tab, alpha, ...)

Arguments

tab

An object of class tab.paired.

alpha

Significance level alpha for 100(1-alpha)%-confidence intervals, the default is 0.05.

...

Additional arguments, usually not required.

Details

The calculation of accuracy measures and their variances follows standard methodology, e.g. described in Pepe (2003) or Zhou et al. (2011).

Value

An list of class acc.paired:

Test1

A list of class acc.1test containing results and accuracy estimates of Test 1.

Test2

A list of class acc.1test containing results and accuracy estimates of Test 2.

References

Pepe, M. (2003). The statistical evaluation of medical tests for classifcation and prediction. Oxford Statistical Science Series. Oxford University Press, 1st edition.

Zhou, X., Obuchowski, N., and McClish, D. (2011). Statistical Methods in Diagnostic Medicine. Wiley Series in Probability and Statistics. John Wiley & Sons, Hoboken, New Jersey, 2nd edition.

See Also

tab.paired, print.acc.paired, acc.1test.

Examples

1
2
3
4
data(Paired1) # Hypothetical study data 
b1 <- tab.paired(d=d, y1=y1, y2=y2, data=Paired1)
b2 <- acc.paired(b1)
print(b2)


Search within the DTComPair package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.