Bioequivalence data analysis for the case of separate hospitalization

Kyun Seop Bae; Seung Ho Kang

doi:10.12793/tcp.2017.25.2.93

Bioequivalence data analysis for the case of separate hospitalization

Kyun Seop Bae, Seung Ho Kang

Department of Applied Statistics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A bioequivalence study is usually conducted with the same-day drug administration. However, hospitalization is occasionally separated for logistical, operational, or other reasons. Recently, there was a case of separate hospitalization because of difficulties in subject recruitment. This article suggests a better way of bioequivalence data analysis for the case of separate hospitalization. The key features are (1) considering the hospitalization date as a random effect than a fixed effect and 2) using “PROC MIXED” instead of “PROC GLM” to include incomplete subject data.

Original language	English
Pages (from-to)	93-100
Number of pages	8
Journal	Translational and Clinical Pharmacology
Volume	25
Issue number	2
DOIs	https://doi.org/10.12793/tcp.2017.25.2.93
Publication status	Published - 2017

All Science Journal Classification (ASJC) codes

Pharmacology (medical)

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