A new non-inferiority test based on Bayesian estimation in matched-pairs design

作者：Chen, Weiquan; Jin, Hua^*

来源：Statistics and Its Interface, 2012, 5(4): 443-449.

• Matched-pairs sample
• Test of non-inferiority
• Bayesian estimation
• Approximate p-value
• Type I error rates of tests
• Powers of tests

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 two-dimension 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.

• 出版日期2012
• 单位华南师范大学