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KMID : 1038020200280040175
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Translational and Clinical Pharmacology
2020 Volume.28 No. 4 p.175 ~ p.180
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Bioequivalence data analysis
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Park Gowooni
Kim Hyung-Sub
Bae Kyun-Seop
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Abstract
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SAS® 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® for BE data analysis. This tutorial explains how R can be used for BE data analysis to generate comparable results with SAS®. The main SAS® 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® PROC GLM and R “sasLM” provide good estimates; however, for a mixed-effects model with unbalanced data, the SAS® PROC MIXED and R “nlme” are better for providing estimates without bias. The SAS® and R scripts are provided for convenience.
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KEYWORD
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SAS®, GLM, MIXED, sasLM, nlme
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FullTexts / Linksout information
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Listed journal information
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