Calculates an exact conditional confidence interval using a Clopper Pearson interval.

Description

exact.cond gives a two-sided exact conditinal confidence interval for the difference of two dependent proportions. It is built of a Clopper Pearson 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

1
exact.cond(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

Clopper, C. and Pearson, E.S. (1934). The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 26, 404-413.

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

Examples

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