A novel nonparametric confidence interval for differences of proportions for correlated binary data.

@article{Duan2018ANN,
  title={A novel nonparametric confidence interval for differences of proportions for correlated binary data.},
  author={Chongyang Duan and Yingshu Cao and Lizhi Zhou and Ming T. Tan and Pingyan Chen},
  journal={Statistical methods in medical research},
  year={2018},
  volume={27 8},
  pages={
          2249-2263
        }
}
Various confidence interval estimators have been developed for differences in proportions resulted from correlated binary data. However, the width of the mostly recommended Tango's score confidence interval tends to be wide, and the computing burden of exact methods recommended for small-sample data is intensive. The recently proposed rank-based… CONTINUE READING