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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Clinical Pharmacology and Therapeutics
2017
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7042005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korean Society for Clinical Pharmacology and Therapeutics |
record_format | MEDLINE/PubMed |
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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