Developing Bayesian Methods for Noninferiority Trial in Comparative Effectiveness Research [Methods Study], United States, 2015-2020
收藏DataCite Commons2026-03-13 更新2026-05-03 收录
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https://www.icpsr.umich.edu/web/pcodr/studies/39611/versions/V1
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资源简介：
Researchers usually design studies to find out if a new treatment works better than no treatment or better than a treatment that is currently used. But sometimes researchers may want to know that a new treatment is not worse than one that's in use. These studies are called non-inferiority, or NI, studies. Researchers conduct NI studies when a new treatment has other benefits such as fewer side effects, even though it may not work better than the one in use. NI studies can provide useful information, but they are hard to design and conduct.
In this study, the research team tested different statistical methods for NI studies that compare treatments.
To access the methods and software, please visit the following Github repositories:
Poisson3armNI
Binary3armNI
bayesianSWcontinuous
SMART3armNI
提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2026-01-08
