The AAPS Journal

, Volume 17, Issue 2, pp 400–404 | Cite as

Reference Datasets for Bioequivalence Trials in a Two-Group Parallel Design

  • Anders FuglsangEmail author
  • Helmut Schütz
  • Detlew Labes
Research Article


In order to help companies qualify and validate the software used to evaluate bioequivalence trials with two parallel treatment groups, this work aims to define datasets with known results. This paper puts a total 11 datasets into the public domain along with proposed consensus obtained via evaluations from six different software packages (R, SAS, WinNonlin, OpenOffice Calc, Kinetica, EquivTest). Insofar as possible, datasets were evaluated with and without the assumption of equal variances for the construction of a 90% confidence interval. Not all software packages provide functionality for the assumption of unequal variances (EquivTest, Kinetica), and not all packages can handle datasets with more than 1000 subjects per group (WinNonlin). Where results could be obtained across all packages, one showed questionable results when datasets contained unequal group sizes (Kinetica). A proposal is made for the results that should be used as validation targets.


bioequivalence parallel design software validation 

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Copyright information

© American Association of Pharmaceutical Scientists 2014

Authors and Affiliations

  1. 1.Fuglsang PharmaHaderslevDenmark
  2. 2.BEBAC–Consultancy Services for Bioequivalence and Bioavailability StudiesViennaAustria
  3. 3.Cooperative Clinical Drug Research and Development AGHoppegartenGermany

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