Exact-corrected confidence interval for risk difference in noninferiority binomial trials
Methodology
2021-10-18 v3 Statistics Theory
Statistics Theory
Abstract
A novel confidence interval estimator is proposed for the risk difference in noninferiority binomial trials. The confidence interval is consistent with an exact unconditional test that preserves the type-I error, and has improved power, particularly for smaller sample sizes, compared to the confidence interval by Chan & Zhang (1999). The improved performance of the proposed confidence interval is theoretically justified and demonstrated with simulations and examples. An R package is also distributed that implements the proposed methods along with other confidence interval estimators.
Cite
@article{arxiv.2104.04660,
title = {Exact-corrected confidence interval for risk difference in noninferiority binomial trials},
author = {Nour Hawila and Arthur Berg},
journal= {arXiv preprint arXiv:2104.04660},
year = {2021}
}