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Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies
Dose‐ranging studies are a crucial part of the phase II drug development process. They complement the understanding gained from exposure‐response analyses. However, the statistical design issues related to dose‐ranging studies are not always keenly understood and a poorly designed study can be costl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301570/ https://www.ncbi.nlm.nih.gov/pubmed/33650283 http://dx.doi.org/10.1111/cts.12998 |
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author | Laird, Glen Xu, Lei Liu, Meng Liu, Jin |
author_facet | Laird, Glen Xu, Lei Liu, Meng Liu, Jin |
author_sort | Laird, Glen |
collection | PubMed |
description | Dose‐ranging studies are a crucial part of the phase II drug development process. They complement the understanding gained from exposure‐response analyses. However, the statistical design issues related to dose‐ranging studies are not always keenly understood and a poorly designed study can be costly for later development. In this tutorial, we review five key statistical principles in designing such a study. We also describe some popular statistical approaches, including pairwise comparison, modeling, and Multiple Comparison Procedure modeling in the context of principles. |
format | Online Article Text |
id | pubmed-8301570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83015702021-07-27 Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies Laird, Glen Xu, Lei Liu, Meng Liu, Jin Clin Transl Sci Reviews Dose‐ranging studies are a crucial part of the phase II drug development process. They complement the understanding gained from exposure‐response analyses. However, the statistical design issues related to dose‐ranging studies are not always keenly understood and a poorly designed study can be costly for later development. In this tutorial, we review five key statistical principles in designing such a study. We also describe some popular statistical approaches, including pairwise comparison, modeling, and Multiple Comparison Procedure modeling in the context of principles. John Wiley and Sons Inc. 2021-05-01 2021-07 /pmc/articles/PMC8301570/ /pubmed/33650283 http://dx.doi.org/10.1111/cts.12998 Text en © 2021 Vertex Pharmaceuticals. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Reviews Laird, Glen Xu, Lei Liu, Meng Liu, Jin Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies |
title | Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies |
title_full | Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies |
title_fullStr | Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies |
title_full_unstemmed | Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies |
title_short | Beyond exposure‐response: A tutorial on statistical considerations in dose‐ranging studies |
title_sort | beyond exposure‐response: a tutorial on statistical considerations in dose‐ranging studies |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301570/ https://www.ncbi.nlm.nih.gov/pubmed/33650283 http://dx.doi.org/10.1111/cts.12998 |
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