np.t gives a two-sided rank-based confidence interval with t- 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.t(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
Details
The t-approximation is used for the critical value for the interval.
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.