Bayesian Approach for Assessing Non-Inferiority in Three-Arm Trials for Risk Ratio and Odds Ratio
被引:2
作者:
Chowdhury, Shrabanti
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机构:
Wayne State Univ, Dept Family Med & Publ Hlth Sci, Detroit, MI USA
Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI USAWayne State Univ, Dept Family Med & Publ Hlth Sci, Detroit, MI USA
Chowdhury, Shrabanti
[1
,2
]
Tiwari, Ram C.
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机构:
US FDA, Div Biostat, CDRH, Silver Spring, MD USAWayne State Univ, Dept Family Med & Publ Hlth Sci, Detroit, MI USA
Tiwari, Ram C.
[3
]
Ghosh, Samiran
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机构:
Wayne State Univ, Dept Family Med & Publ Hlth Sci, Detroit, MI USA
Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI USAWayne State Univ, Dept Family Med & Publ Hlth Sci, Detroit, MI USA
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
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2019年
/
11卷
/
01期
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.
机构:
Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI 48202 USADept Family Med & Publ Hlth Sci, Detroit, MI USA
Chowdhury, Shrabanti
Tiwari, Ram C.
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机构:
US FDA, Div Biostat, CDRH, Rockville, MD 20857 USADept Family Med & Publ Hlth Sci, Detroit, MI USA
Tiwari, Ram C.
Ghosh, Samiran
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机构:
Dept Family Med & Publ Hlth Sci, Detroit, MI USA
Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI 48202 USADept Family Med & Publ Hlth Sci, Detroit, MI USA
机构:
Fourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R ChinaFourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R China
Wang, Wenwen
Huang, Yaru
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Fourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R ChinaFourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R China
Huang, Yaru
Xia, Jielai
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Fourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R ChinaFourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R China
Xia, Jielai
Wang, Ling
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Fourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R ChinaFourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R China
Wang, Ling
Li, Chen
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Fourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R ChinaFourth Mil Med Univ, Sch Prevent Med, Key Lab Hazard Assessment & Control Special Operat, Dept Hlth Stat,Minist Educ, Xian 710042, Shaanxi, Peoples R China
机构:
Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI 48202 USA
Wayne State Univ, Family Med & Publ Hlth Sci, Detroit, MI 48202 USAWayne State Univ, Ctr Mol Med & Genet, Detroit, MI 48202 USA
机构:
Yunnan Univ, Yunnan Key Lab Stat Modeling & Data Anal, Kunming 650091, Peoples R ChinaYunnan Univ, Yunnan Key Lab Stat Modeling & Data Anal, Kunming 650091, Peoples R China
Tang, Niansheng
Liang, Fan
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Yunnan Univ, Yunnan Key Lab Stat Modeling & Data Anal, Kunming 650091, Peoples R ChinaYunnan Univ, Yunnan Key Lab Stat Modeling & Data Anal, Kunming 650091, Peoples R China
Liang, Fan
Jiang, Depeng
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机构:
Univ Manitoba, Dept Community Hlth Sci, Winnipeg, MB R3E 0W3, CanadaYunnan Univ, Yunnan Key Lab Stat Modeling & Data Anal, Kunming 650091, Peoples R China