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Assessment of individual bioequivalence using sufficient bootstrap procedure
Author(s) -
Beyaztas Ufuk
Publication year - 2019
Publication title -
pharmaceutical statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 38
eISSN - 1539-1612
pISSN - 1539-1604
DOI - 10.1002/pst.1930
Subject(s) - bioequivalence , percentile , confidence interval , monte carlo method , crossover , statistics , sample size determination , computer science , mathematics , set (abstract data type) , bootstrapping (finance) , econometrics , artificial intelligence , medicine , pharmacology , programming language , bioavailability
This paper proposes a sufficient bootstrap method, which uses only the unique observations in the resamples, to assess the individual bioequivalence under 2 × 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.