Testing the Equivalence of Generalized Variances in Multivariate Bioequivalence

被引:0
|
作者
Cao, Li [1 ]
Mathew, Thomas [1 ]
机构
[1] Univ Maryland Baltimore Cty, Dept Math & Stat, Baltimore, MD 21250 USA
关键词
AUC; Cmax; Tmax; Unimodal distribution; Wishart distribution; Within-subject covariance matrix; COVARIANCE MATRICES; SUBJECT; TRIALS;
D O I
10.1080/03610920902947279
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For the purpose of assessing the equivalence of variabilities in multivariate bioequivalence problems, equivalence testing of the generalized variances of the associated covariance matrices is investigated. Even though similar problems have been studied in the context of univariate bioequivalence testing, the problem has not been formulated or investigated in the multivariate case. For carrying out the test in the multivariate case, an exact p-value is derived in the bivariate case, and an approximation is suggested for higher dimensions. The procedure is illustrated using an example in multivariate bioequivalence.
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页码:2983 / 2991
页数:9
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