Work

Developing Bayesian Methods for Noninferiority Trial in Comparative Effectiveness Research [Methods Study], United States, 2015-2020

Year: 2026

Type: dataset

Abstract: 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

Source: ICPSR Data Holdings

DOI: 10.3886/icpsr39611

Author: Ghosh, Samiran

Institution: Wayne State University

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Patient-Centered Outcomes Research Institute