Indian Journal of Science and Technology
Year: 2023, Volume: 16, Issue: 3, Pages: 223-229
Maria Daya Roopa1*, Nimitha John1
1Department of Statistics, Christ University, Hosur Road, Bengaluru, 560029, Karnataka, India
Email: [email protected]
Received Date:30 July 2022, Accepted Date:24 December 2022, Published Date:23 January 2023
Objective: This study considers the Bayesian design of clinical trials from the perspective of a comparative study of the Bayesian approach for the TGN1412 clinical trial. The Bayesian setting analyses the statistical issues of the TGN1412 trials’ first in man studies, which include the details of the Northwick Park trial, and the clinical study design recommendations are implemented. Methods: The clinical trial data analysis was carried out to screen the structural evidence of the trial outcomes. Hierarchical modeling is implemented with structural priors to get the most efficient Bayesian outcomes. Findings: We concentrated on determining the best model for the clinical pathway of randomization and Bayesian design of experiments. Novelty: The Bayesian design of experiments is widely used for outcome prediction under various treatments in order to validate the trial’s dosing periods. The purpose of this paper is to compare the growth models for Phase I trial results. Current research on Bayesian designs incorporates simulation studies on the effects of design variables.
Keywords: Clinical Trial; Bayesian; Efficacy; Dose Limiting Event; Desirable Outcome; Treatment Effects; Cohort Effects; Dose Response
© 2023 Daya Roopa & John. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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