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Bioequivalence and intrasubject variability.

J P Liu1

  • 1Berlex Laboratories, Inc., Wayne, New Jersey 07470.

Journal of Biopharmaceutical Statistics
|January 1, 1991
PubMed
Summary
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This study introduces a method to assess intrasubject variability equivalence in bioavailability for bioequivalence studies. The confidence interval approach is shown to be equivalent to hypothesis testing for this assessment.

Area of Science:

  • Pharmacokinetics and Pharmaceutical Sciences
  • Biostatistics
  • Drug Development

Background:

  • Bioequivalence ensures drug formulations have comparable bioavailability.
  • Equivalence requires matching average and intrasubject variability.
  • Standard bioequivalence studies often use a two-by-two crossover design.

Purpose of the Study:

  • To introduce a procedure for assessing intrasubject variability equivalence in bioavailability.
  • To evaluate the equivalence of intrasubject variability in bioequivalence studies.
  • To demonstrate the application of the procedure using a hypothetical dataset.

Main Methods:

  • Development of a statistical procedure for intrasubject variability equivalence.
  • Utilizing the standard two-by-two crossover design for bioequivalence studies.

Related Experiment Videos

  • Comparison of confidence interval approach with hypothesis testing for variability assessment.

    • Main Results:

    • The proposed procedure effectively assesses intrasubject variability equivalence.
    • Confidence interval approach and hypothesis testing yield identical operational outcomes for variability assessment.
    • A hypothetical dataset illustrates the practical application of the method.

    Conclusions:

    • A reliable method for evaluating intrasubject variability equivalence in bioequivalence studies is presented.
    • The confidence interval method offers a practical alternative for assessing variability equivalence.
    • The findings contribute to robust bioequivalence study designs.