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Variance components in comparative bioavailability studies.

M Gaffney1

  • 1Pfizer, Inc., New York, NY 10017.

Journal of Pharmaceutical Sciences
|April 1, 1992
PubMed
Summary

Repeat administration in bioavailability studies significantly reduces variance, potentially reducing the number of subjects needed. Assay measurement error is negligible, making repeat assays unnecessary for improving study precision.

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Area of Science:

  • Pharmacokinetics and Biopharmaceutics
  • Statistical Analysis in Clinical Trials
  • Drug Formulation and Bioequivalence

Background:

  • Comparative bioavailability studies are crucial for drug development and regulatory approval.
  • Understanding variance components is key to optimizing study design and efficiency.
  • Assay measurement error is a potential source of noise in bioequivalence assessments.

Purpose of the Study:

  • To examine variance components in comparative bioavailability studies.
  • To determine the impact of repeat assays and repeat formulation administration on study precision.
  • To assess the utility of repeat administration for estimating within-subject and subject-formulation variance.

Main Methods:

  • Analysis of variance components in comparative bioavailability data.
  • Statistical modeling to quantify the contribution of different variance sources.
  • Simulation or empirical analysis to evaluate the effect of study design modifications.

Main Results:

  • Assay measurement error is negligible compared to other variance components.
  • Repeat administration of formulations to subjects significantly reduces formulation difference variance.
  • The benefit of repeat administration is contingent on the interplay between within-subject and subject-formulation variance components.

Conclusions:

  • Repeat assays are unnecessary and do not improve precision in comparative bioavailability studies.
  • Repeat administration enhances study precision and can reduce the required sample size.
  • Separate estimation of within-subject and subject-formulation variance components is enabled by repeat administration, aiding bioequivalence and interchangeability assessments.

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