Stepwise Procedure for Toxicological Assessment Based on Ratio of Mean Differences for a Normally Distributed Data

Michael J. Adjabui *

Department of Mathematics, CK Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Jakperik Dioggban

Department of Statistics, CK Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Nathaniel K. Howard

Department of Statistics, University of Cape Coast, Cape Coast, Ghana.

*Author to whom correspondence should be addressed.


Abstract

We propose a new stepwise confidence set procedure for toxicity study based on ratio of mean difference. Statistical approaches for evaluating toxicity studies that properly control familywise error rate (FWER) for difference of means between treatments and a control already exist. However, in some therapeutic areas, ratio of mean differences is desirable. Therefore, we construct stepwise confidence procedure based on Fieller's confidence intervals for multiple ratio of mean difference without multiplicity adjustment for toxicological evaluation. Simulation study revealed that the FWER is well controlled at prespecified nominal level α. Also, the power of our approach increases with increasing sample size and ratio of mean differences.

Keywords: Balanced design, fieller, FWER, MED, stepwise procedure, power


How to Cite

Adjabui, Michael J., Jakperik Dioggban, and Nathaniel K. Howard. 2021. “Stepwise Procedure for Toxicological Assessment Based on Ratio of Mean Differences for a Normally Distributed Data”. Asian Research Journal of Mathematics 17 (11):59-68. https://doi.org/10.9734/arjom/2021/v17i1130341.

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