Bioequivalence data analysis
Translational and Clinical Pharmacology
;
: 175-180, 2020.
Artigo
em Inglês
| WPRIM
| ID: wpr-896414
ABSTRACT
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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Idioma:
Inglês
Revista:
Translational and Clinical Pharmacology
Ano de publicação:
2020
Tipo de documento:
Artigo
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