wilson gives a two-sided Wilson confidence interval
for the difference of two dependent proportions. There is no continuity correction
performed. 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
wilson(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
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
Newcombe, R.G. (1998). Improved confidence intervals for the difference between binomial proportions based on paired data. Statistics in Medicine 17. 2635-2650.
Examples
# a=10, b=15, c=5, d=20, n=50, type I error is 0.05
conf.int=wilson(10,15,5,20,50,0.05)