# Calculates Confidence Intervals for two Dependent Proportions

### Description

The package includes functions to calculate confidence intervals for the difference of dependent proportions. There are two functions implemented to edit the data (dichotomising with the help of cutpoints, counting accordance and discordance of two tests or situations). For the calculation of the confidence intervals entries of the fourfold table are needed.

### Details

Package: | diffdepprop |

Type: | Package |

Version: | 0.1-9 |

Date: | 2013-05-03 |

License: GPL>=2 | |

### Author(s)

Daniela Wenzel, Antonia Zapf

Maintainer: Daniela Wenzel <dani-wenzel@gmx.net>

### References

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

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.

Vollset, S.E. (1993). Confidence intervals for a binomial proportion. Statistics in Medicine 12. 809-824.

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.

Fleiss, Joseph L. et al. (2003). Statistical Methods for Rates and Proportions. Wiley.

### See Also

PropCIs

### Examples

1 2 3 4 | ```
# a=10, b=15, c=5, d=20, n=50, type I error is 0.05
wilson = wilson(10,15,5,20,50,0.05)
# b=15, c=5, n=50, type I error is 0.05
exact.cond = exact.cond(15, 5, 50, 0.05)
``` |