The bootstrap procedure in individual bioequivalence.

Published

Journal Article

A bootstrap-type hypothesis test procedure for assessing individual (or population) bioequivalence between two drug formulations is suggested in a draft guidance from the United States Food and Drug Administration (FDA). The purpose of this article is to study the unknown properties of this test procedure and propose some improved test procedures. We find that: the FDA's bootstrap computation is not correct; the power of the FDA's test can be very low; the use of the REML method suggested in the draft guidance does not have any advantage over the use of simpler methods such as the moment method; and the method of sample size determination in the draft guidance is inappropriate. We study the size and power of different bootstrap test procedures and suggest a method for sample size determination. It is our hope that this article will draw some attention to further research in this area, and eventually a satisfactory statistical method can be implemented for assessing individual (or population) bioequivalence.

Full Text

Duke Authors

Cited Authors

  • Shao, J; Chow, SC; Wang, B

Published Date

  • October 30, 2000

Published In

Volume / Issue

  • 19 / 20

Start / End Page

  • 2741 - 2754

PubMed ID

  • 11033572

Pubmed Central ID

  • 11033572

International Standard Serial Number (ISSN)

  • 0277-6715

Language

  • eng

Conference Location

  • England