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Bioequivalence data analysis for the case of separate hospitalization

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 sug...

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Detalles Bibliográficos
Autores principales: Bae, Kyun-Seop, Kang, Seung-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Clinical Pharmacology and Therapeutics 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042005/
https://www.ncbi.nlm.nih.gov/pubmed/32133325
http://dx.doi.org/10.12793/tcp.2017.25.2.93
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author Bae, Kyun-Seop
Kang, Seung-Ho
author_facet Bae, Kyun-Seop
Kang, Seung-Ho
author_sort Bae, Kyun-Seop
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description 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.
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spelling pubmed-70420052020-03-04 Bioequivalence data analysis for the case of separate hospitalization Bae, Kyun-Seop Kang, Seung-Ho Transl Clin Pharmacol Original Article 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. Korean Society for Clinical Pharmacology and Therapeutics 2017-06 2017-06-15 /pmc/articles/PMC7042005/ /pubmed/32133325 http://dx.doi.org/10.12793/tcp.2017.25.2.93 Text en Copyright © 2017 Translational and Clinical Pharmacology http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Original Article
Bae, Kyun-Seop
Kang, Seung-Ho
Bioequivalence data analysis for the case of separate hospitalization
title Bioequivalence data analysis for the case of separate hospitalization
title_full Bioequivalence data analysis for the case of separate hospitalization
title_fullStr Bioequivalence data analysis for the case of separate hospitalization
title_full_unstemmed Bioequivalence data analysis for the case of separate hospitalization
title_short Bioequivalence data analysis for the case of separate hospitalization
title_sort bioequivalence data analysis for the case of separate hospitalization
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042005/
https://www.ncbi.nlm.nih.gov/pubmed/32133325
http://dx.doi.org/10.12793/tcp.2017.25.2.93
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