共 44 条
Bayesian Approach for Assessing Non-Inferiority in Three-Arm Trials for Risk Ratio and Odds Ratio
被引:2
作者:
Chowdhury, Shrabanti
[1
,2
]
Tiwari, Ram C.
[3
]
Ghosh, Samiran
[1
,2
]
机构:
[1] Wayne State Univ, Dept Family Med & Publ Hlth Sci, Detroit, MI USA
[2] Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI USA
[3] US FDA, Div Biostat, CDRH, Silver Spring, MD USA
来源:
STATISTICS IN BIOPHARMACEUTICAL RESEARCH
|
2019年
/
11卷
/
01期
关键词:
Assay sensitivity;
Binary outcome;
Fraction margin;
Markov chain Monte Carlo;
Noninferiority margin;
Risk;
odds ratio;
Three-arm trial;
ASSESSING NONINFERIORITY;
D O I:
10.1080/19466315.2018.1554504
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
In this article, we consider three-arm noninferiority (NI) trial that includes an experimental, a reference, and a placebo arm. While the risk difference (RD) is the most common and well-explored functional form for testing efficacy (or effectiveness), for binary outcomes, recent FDA guideline suggested other measures, such as relative risk (RR) and odds ratio (OR) on the basis of which NI can be claimed. However, developing test based on these different functions of binary outcomes are challenging since the construction and interpretation of NI margin for such functions are not trivial extensions of RD-based approach. Recently, we have proposed Frequentist approach for testing NI for these functionals. In this article, we further develop Bayesian approaches for testing NI based on effect retention approach for RR and OR. Bayesian paradigm provides a natural path to integrate historical trials' information, as well as it allows using patients'/clinicians' opinions as prior information via sequential learning. In addition we discuss, in detail, the sample size/power calculation which could be readily used while designing such trials in practice.
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页码:34 / 43
页数:10
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