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)