np.nv: Calculates a rank-based confidence interval

In diffdepprop: Calculates Confidence Intervals for two Dependent Proportions

Description

np.nv gives a two-sided rank-based confidence interval with normal approximation for the difference of two dependent proportions. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.

Usage

np.nv(a, b, c, d, n, alpha)

Arguments

a	first number of concordant paires as described above
b	first number of discordant paires as described above
c	second number of discordant paires as described above
d	second number of concordant paires as described above
n	number of observed objects
alpha	type I error; between zero and one

Details

The normal approximation is used for the critical value for the interval.

Value

A list with class '"htest"' containing the following components:

conf.int	a confidence interval for the difference in proportions
estimate	estimated difference in proportions

Author(s)

Daniela Wenzel, Antonia Zapf

References

Lange, K. and Brunner, E. (2012). Sensitivity, Specificity and ROC-curves in multiple reader diagnostic trials-A unified, nonparametric approach. Statistical Methodology 9, 490-500.

Examples

# a=10, b=15, c=5, d=20, n=50, type I error is 0.05
conf.int=np.nv(10,15,5,20,50,0.05)

diffdepprop documentation built on May 1, 2019, 11:11 p.m.