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Statistics Colloquium/PhD Proposal
April 17 (Mon) 11 a.m.
Alavi Commons Room, 6625 Everett Tower
Puntipa Wanitjirattikal
Department of Statistics
Western Michigan University
Abstract: Our study focuses on testing for statistical equivalence of two different measurements. Typically, a new measurement process Y is compared to an existing (or standard) measurement process X. The paired t-test may be used to check the difference between pairs of measurement. However, the paired t-test is intended to detect shift-type relationships of the form Y=X+d and may have low power for scale-type relations of the form Y= c X. In this dissertation, we aim to propose a test that has reasonable power to detect either shift or scale-type relationships.
The second part of our research will use principles of bioequivalence testing to invert the hypothesis so that statistical equivalence of the two measurements is the alternative hypothesis and bears the burden of proof. Rather than being the default conclusion in the absence of sufficient evidence, we will conclude clinical equivalence only if there is evidence to support the claim that the magnitude of disagreement between the two measurements lies within specified limits.
Bio:
Puntipa is a docotral candidate in the Department of Statistics.
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All statistics students are encouraged to attend.