Assessment of individual bioequivalence using sufficient bootstrap procedure


Beyaztas U.

PHARMACEUTICAL STATISTICS, vol.18, no.3, pp.388-398, 2019 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 3
  • Publication Date: 2019
  • Doi Number: 10.1002/pst.1930
  • Title of Journal : PHARMACEUTICAL STATISTICS
  • Page Numbers: pp.388-398

Abstract

This paper proposes a sufficient bootstrap method, which uses only the unique observations in the resamples, to assess the individual bioequivalence under 2 x 4 randomized crossover design. The finite sample performance of the proposed method is illustrated by extensive Monte Carlo simulations as well as a real-experimental data set, and the results are compared with those obtained by the traditional bootstrap technique. Our records reveal that the proposed method is a good competitor or even better than the classical percentile bootstrap confidence limits.