Term of Award
Master of Science in Mathematics (M.S.)
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Thesis (restricted to Georgia Southern)
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This work is licensed under a Creative Commons Attribution 4.0 License.
Department of Mathematical Sciences
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Non-inferiority (NI) trials have gained popularity within the last decades for comparative effectiveness research. Three-arm NI trials design, whenever feasible, is recommended as both non-inferiority and the assay sensitivity (AS) of the treatment can be directly evaluated within the trial. Relevant historical information about the efficacy of the reference treatment plays a critical role in specifying an acceptable NI margin. The Bayesian approach provides a natural way to incorporate past trial information into the current trial through prior elicitation. In this study, we consider a Bayesian approach to simultaneously test both NI and AS in a three-arm trial with the binary endpoint. We evaluate the performance of the proposed model based on the simulated datasets under varying scenarios.
Chen, Lingling, "Impact of Historical Borrowing in Bayesian Non-Inferiority Trial with Binary Data" (2020). Electronic Theses and Dissertations. 2149.
Research Data and Supplementary Material
Available for download on Saturday, July 24, 2021