Exact-corrected confidence interval for risk difference in noninferiority binomial trials
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
