Term of Award
Summer 2020
Degree Name
Master of Science in Mathematics (M.S.)
Document Type and Release Option
Thesis (restricted to Georgia Southern)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Mathematical Sciences
Committee Chair
Arpita Chatterjee
Committee Member 1
Stephen Carden
Committee Member 2
Divine Wanduku
Committee Member 3
Kyle Bradford
Committee Member 3 Email
kbradford@georgiasouthern.edu
Abstract
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.
Recommended Citation
Chen, Lingling, "Impact of Historical Borrowing in Bayesian Non-Inferiority Trial with Binary Data" (2020). Electronic Theses and Dissertations. 2149.
https://digitalcommons.georgiasouthern.edu/etd/2149
Research Data and Supplementary Material
No
