Literature DB >> 7644864

Bias of two one-sided tests procedures in assessment of bioequivalence.

J P Liu1, C S Weng.   

Abstract

The current applications of Schuirmann's two one-sided tests procedure for the original scale ignore the variability of the least squares mean of the reference formulation when it substitutes for the unknown reference average of pharmacokinetic responses. We propose a modified two one-sided test procedure that takes into account the variability of the least squares mean of the reference formulation. The non-parametric version of the modified procedure is also available. We conducted a simulation study to examine the true level of significance and empirical power of four current parametric and non-parametric two one-sided tests procedures under a 2 x 2 crossover design with different combinations of sample size, intrasubject variability, and correlation between the two responses from a subject. Both theoretical results and empirical evidence show that the true level of significance of the current two one-sided tests procedures converges to 0.5 when the correlation of the two responses approaches 1. However, not only is the modified two one-sided tests procedure a test of size alpha, but empirical evidence indicates it is also an unbiased test. The modified non-parametric procedure also controls the size of the tests and is competitive even under normality assumption.

Mesh:

Year:  1995        PMID: 7644864     DOI: 10.1002/sim.4780140813

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Bioequivalence tests based on individual estimates using non-compartmental or model-based analyses: evaluation of estimates of sample means and type I error for different designs.

Authors:  Anne Dubois; Sandro Gsteiger; Etienne Pigeolet; France Mentré
Journal:  Pharm Res       Date:  2009-10-30       Impact factor: 4.200

2.  Likelihood ratio and score tests to test the non-inferiority (or equivalence) of the odds ratio in a crossover study with binary outcomes.

Authors:  Xiaochun Li; Huilin Li; Man Jin; Judith D Goldberg
Journal:  Stat Med       Date:  2016-04-19       Impact factor: 2.373

  2 in total

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