摘要：Non-inferiority of one treatment to another is a common issue in medical research. In this paper, a new test using an approximate $p$-value based on Bayesian estimation is proposed. Our test is based on only one point of the twodimension nuisance parameter space for accuracy improvement and computational purposes. The sizes and powers of our test are considered. Simulation results suggest that our test can control the type I error rates with reasonable powers while the asymptotic normal test cannot for most cases. In comparison to Sidik’s exact test, our test is much easier to implement.
关键词：matched-pairs sample; test of non-inferiority; Bayesian estimation; approximate p-value; Type I error rates of tests; powers of tests
