Calculates a rank-based confidence interval

Description

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

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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

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# 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)