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arXiv · 2104.04660

Exact-corrected confidence interval for risk difference in noninferiority binomial trials

Nour Hawila·Arthur Berg
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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.

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Nour Hawila, Arthur Berg. 2021-04-10. Exact-corrected confidence interval for risk difference in noninferiority binomial trials. https://arxiv.org/abs/2104.04660

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