Literature DB >> 26538182

Optimal adaptive sequential designs for crossover bioequivalence studies.

Jialin Xu1, Charles Audet2, Charles E DiLiberti3, Walter W Hauck4, Timothy H Montague5, Alan F Parr6, Diane Potvin7, Donald J Schuirmann8.   

Abstract

In prior works, this group demonstrated the feasibility of valid adaptive sequential designs for crossover bioequivalence studies. In this paper, we extend the prior work to optimize adaptive sequential designs over a range of geometric mean test/reference ratios (GMRs) of 70-143% within each of two ranges of intra-subject coefficient of variation (10-30% and 30-55%). These designs also introduce a futility decision for stopping the study after the first stage if there is sufficiently low likelihood of meeting bioequivalence criteria if the second stage were completed, as well as an upper limit on total study size. The optimized designs exhibited substantially improved performance characteristics over our previous adaptive sequential designs. Even though the optimized designs avoided undue inflation of type I error and maintained power at ≥ 80%, their average sample sizes were similar to or less than those of conventional single stage designs.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  adaptive design; bioequivalence; sample size re-estimation; sequential design

Mesh:

Year:  2015        PMID: 26538182     DOI: 10.1002/pst.1721

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  6 in total

1.  A comparison of group sequential and fixed sample size designs for bioequivalence trials with highly variable drugs.

Authors:  Sophie I E Knahl; Benjamin Lang; Frank Fleischer; Meinhard Kieser
Journal:  Eur J Clin Pharmacol       Date:  2018-01-23       Impact factor: 2.953

2.  Two-Stage Adaptive Designs for Three-Treatment Bioequivalence Studies.

Authors:  Michael J Grayling; Adrian P Mander; James M S Wason
Journal:  Stat Biopharm Res       Date:  2019-09-06       Impact factor: 1.452

3.  Design and inference for 3-stage bioequivalence testing with serial sampling data.

Authors:  Fangrong Yan; Huihong Zhu; Junlin Liu; Liyun Jiang; Xuelin Huang
Journal:  Pharm Stat       Date:  2018-05-03       Impact factor: 1.894

4.  10th Anniversary of a Two-Stage Design in Bioequivalence. Why Has it Still Not Been Implemented?

Authors:  Michał Kaza; Alexander Sokolovskyi; Piotr J Rudzki
Journal:  Pharm Res       Date:  2020-07-13       Impact factor: 4.200

5.  Blinded and unblinded sample size reestimation in crossover trials balanced for period.

Authors:  Michael J Grayling; Adrian P Mander; James M S Wason
Journal:  Biom J       Date:  2018-08-03       Impact factor: 2.207

6.  Sample size re-estimation in crossover trials: application to the AIM HY-INFORM study.

Authors:  Julie Wych; Michael J Grayling; Adrian P Mander
Journal:  Trials       Date:  2019-12-02       Impact factor: 2.279

  6 in total

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