Literature DB >> 11870806

Individual bioequivalence testing under 2x3 designs.

Shein-Chung Chow1, Jun Shao, Hansheng Wang.   

Abstract

In recent years, as more generic drug products become available, it is a concern not only whether generic drug products that have been approved based on the regulation of average bioequivalence will have the same quality, safety and efficacy as that of the brand-name drug product, but also whether the approved generic drug products can be used interchangeably. In its recent draft guidance, the U.S. Food and Drug Administration (FDA) recommends that individual bioequivalence (IBE) be assessed using the method proposed by Hyslop, Hsuan, and Holder to address drug switchability. The FDA suggests that a 2x4 cross-over design be considered for assessment of IBE, while a 2x3 cross-over design may be used as an alternative design to reduce the length and cost of the study. Little or no information regarding the statistical procedures under 2x3 cross-over designs is discussed in the guidance. In this paper, a detailed statistical procedure for assessment of IBE under 2x3 cross-over designs is derived. The main purpose of this paper, however, is to derive an IBE test under an alternative 2x3 design and show that the resulting IBE test is better than that under a 2x3 cross-over design and is comparable to or even better than that under a 2x4 cross-over design. Our conclusions are supported by theoretical considerations and empirical results. Furthermore, a method of determining the sample sizes required for IBE tests to reach a given level of power is proposed. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 11870806     DOI: 10.1002/sim.1056

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


  6 in total

Review 1.  Evaluation of bioequivalence for highly variable drugs with scaled average bioequivalence.

Authors:  Laszlo Tothfalusi; Laszlo Endrenyi; Alfredo Garcia Arieta
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

2.  Inflation of Type I Error in the Evaluation of Scaled Average Bioequivalence, and a Method for its Control.

Authors:  Detlew Labes; Helmut Schütz
Journal:  Pharm Res       Date:  2016-08-01       Impact factor: 4.200

3.  Reference Datasets for Studies in a Replicate Design Intended for Average Bioequivalence with Expanding Limits.

Authors:  Helmut Schütz; Detlew Labes; Michael Tomashevskiy; Mario González-de la Parra; Anastasia Shitova; Anders Fuglsang
Journal:  AAPS J       Date:  2020-02-07       Impact factor: 4.009

4.  Bioavailability and Bioequivalence in Drug Development.

Authors:  Shein-Chung Chow
Journal:  Wiley Interdiscip Rev Comput Stat       Date:  2014

5.  Sample size determination for individual bioequivalence inference.

Authors:  Chieh Chiang; Chin-Fu Hsiao; Jen-Pei Liu
Journal:  PLoS One       Date:  2014-10-13       Impact factor: 3.240

6.  mHealth versus face-to-face: study protocol for a randomized trial to test a gender-focused intervention for young African American women at risk for HIV in North Carolina.

Authors:  Felicia A Browne; Wendee M Wechsberg; Paul N Kizakevich; William A Zule; Courtney P Bonner; Ashton N Madison; Brittni N Howard; Leslie B Turner
Journal:  BMC Public Health       Date:  2018-08-06       Impact factor: 3.295

  6 in total

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