©2021-2032 All Rights Reserved. Online Journal of Veterinary Research. You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to email@example.com publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors.
Online Journal of Veterinary Research ©
Volume 25 (1) : 28-34, 2021.
Jihao Zhou, PhD1ß,
1Department of Clinical
Biostatistics, Pfizer Global Research and Development, La Jolla Laboratories,
11085 Torreyana Road, San Diego, California, 92121,
USA. 2Department of Biostatistics, The
Zhou J, He Y, Yuan Y., Schuirmannís two 1-sided and nonparametric tests for non-normal pharmacokinetic drug interactions, Onl J Vet Res., 25(1): 28-34, 2021. Schuirmannís two one-sided tests (TOST) approach is widely used in clinical drug-drug interaction studies. However, it requires normality assumption, which may not hold in practice. We report statistical performance of Schuirmannís TOST procedure for non-normal data compared with nonparametric TOSTs. Monte Carlo simulations were used to generate non-normal data with different skewness and kurtosis. The statistical performances of Schuirmannís TOST and nonparametric method-based TOSTs were compared in terms of empirical power, size and coverage probability. The nonparametric TOST approaches were based on Wilcoxon signed-rank test, Jackknife and Bootstrap methods. Our simulations show that Schuirmannís TOST is fairly robust to slightly skewed data, but may have poor performance when data are heavily skewed. In contrast, Bootstrap-T approach consistently yields the best coverage probabilities and reasonable empirical sizes.