An unbiased test for the bioequivalence problem

Autor:	J. T. Gene Hwang, Lawrence D. Brown, Axel Munk
Jazyk:	angličtina
Rok vydání:	1997
Předmět:	Statistics and Probability uniformly more powerful Two one-sided tests procedure Unbiased Estimation Bioequivalence pharmocokinetic parameters Test (assessment) 62P10 Statistics Econometrics Statistics Probability and Uncertainty 62F04 Mathematics Statistical hypothesis testing
Zdroj:	Ann. Statist. 25, no. 6 (1997), 2345-2367
Popis:	It is shown that the standard two one-sided tests procedure for bioequivalence is a biased test. Better tests exist. In this paper, an unbiased $\alpha$-level test and other tests which are uniformly more powerful than the two one-sided tests procedure are constructed. Its power can be noticeably larger than that of the $\alpha$-level two one-sided tests procedure.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a5aab43927cc56460cd12c8a34f806c http://projecteuclid.org/euclid.aos/1030741076 Zobrazit plný text záznamu