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A simulation-based comparison of tests for equivalence in clinical trials with application to tobacco data

Resource type
Thesis type
(Project) M.Sc.
Date created
2023-08-17
Authors/Contributors
Author: Xie, Junpu
Abstract
The equivalence problem is concerned with statistical methodology to assess the equivalence between two medications or two formulations in clinical trials. Frequently, researchers incorrectly use difference tests to evaluate equivalence. This study introduces three common equivalence tests (two one-sided tests, power analysis, and the Hauck-Anderson method) and investigates their performance. We conclude by describing appropriate experimental design and testing procedures for assessing equivalence between tobacco composition developed by Health Canada (HC) and the World Health Organization (WHO) and explore their performance through a simulation-based comparison.
Document
Extent
63 pages.
Identifier
etd22647
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor: Estep, Donald
Language
English
Download file Size
etd22647.pdf 725.13 KB

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