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Correspondence to Author: Faten.S. Alamri^a, Edward.L. Boone^b, and David.J. Edwards^b. 

^a Department of Mathematical Sciences, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
^bDepartment of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA 23284, USA.

DOI: 10.52338/jotr.2024.3963

Abstract:

All biological forms of life can be exposed to different levels of harmful chemicals that can cause various side effects. Toxicological experiments enable researchers to test these chemicals on rats to determine their major effects. Although optimal and acceptable dose levels have been investigated, researchers continue to strive to minimize the side effects and the chemical dosage. Farhat [2014] used a Bayesian approach to determine the Benchmark Dose Tolerable Region (BMDTR) for several additive outcomes with two chemicals. In this article, we use the tolerable region under the fitted dose-response model to propose a novel Bayesian criterion that determines the Bayesian optimal follow-up experimental design for the toxicology experiment. The data motivating this study was collected by Moser et al. [2005].

Keywords: Bayesianexperimentdesign; Tolerable region; Markov ChainMonteCarlo;Toxicology data analysis.

Citation:

Dr. Faten.S. Alamri, FINDING SIMULTANEOUS TOLERABLE DOSAGE COMBINATIONS FOR MULTIPLE OUTCOMES AND MULTIPLE STRESSORS. Journal of Toxicological Research 2024.