exact.midp: Calculates an exact conditional confidence interval using a...

In diffdepprop: Calculates Confidence Intervals for two Dependent Proportions

Description

exact.midp gives a two-sided exact conditional confidence interval for the difference of two dependent proportions. It is built of a mid-p Interval. 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

exact.midp(b, c, n, alpha)

Arguments

b	first number of discordant pairs in a fourfold table as described above
c	second number of discordant pairs in a fourfold table as described above
n	number of observed objects
alpha	type I error; between zero and one

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

Vollset, S.E. (1993). Confidence intervals for a binomial proportion. Statistics in Medicine 12. 809-824.

Newcombe, R.G. (1998). Improved confidence intervals for the difference between binomial proportions based on paired data. Statistics in Medicine 17. 2635-2650.

Examples

# b=10, c=20, n=50, type I error is 0.05
conf.int=exact.midp(10,20,50,0.05)

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