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KMID : 1038020200280040175
Translational and Clinical Pharmacology
2020 Volume.28 No. 4 p.175 ~ p.180
Bioequivalence data analysis
Park Gowooni

Kim Hyung-Sub
Bae Kyun-Seop
Abstract
SAS¢ç is commonly used for bioequivalence (BE) data analysis. R is a free and open software for general purpose data analysis, and is less frequently used than SAS¢ç for BE data analysis. This tutorial explains how R can be used for BE data analysis to generate comparable results with SAS¢ç. The main SAS¢ç procedures for BE data analysis are PROC GLM and PROC MIXED, and the corresponding R main packages are ¡°sasLM¡± and ¡°nlme¡± respectively. For fixed effects only or balanced data, the SAS¢ç PROC GLM and R ¡°sasLM¡± provide good estimates; however, for a mixed-effects model with unbalanced data, the SAS¢ç PROC MIXED and R ¡°nlme¡± are better for providing estimates without bias. The SAS¢ç and R scripts are provided for convenience.
KEYWORD
SAS¢ç, GLM, MIXED, sasLM, nlme
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