TY - JOUR
T1 - Bioequivalence data analysis for the case of separate hospitalization
AU - Bae, Kyun Seop
AU - Kang, Seung Ho
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85025064542&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025064542&partnerID=8YFLogxK
U2 - 10.12793/tcp.2017.25.2.93
DO - 10.12793/tcp.2017.25.2.93
M3 - Article
AN - SCOPUS:85025064542
VL - 25
SP - 93
EP - 100
JO - Translational and Clinical Pharmacology
JF - Translational and Clinical Pharmacology
SN - 2289-0882
IS - 2
ER -