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Variable or variate? A conundrum in pharmacometrics exposure–response models

Key elements of scientific writing—consistency and clarity—can be compromised in case of inaccurate use of methodological terms, especially in complex and multidisciplinary scientific fields. Such is the case in reports of pharmacometrics exposure–response analyses with the use of the terms univaria...

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Autores principales: Grisic, Ana‐Marija, Venkatakrishnan, Karthik, French, Jonathan, Khandelwal, Akash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931432/
https://www.ncbi.nlm.nih.gov/pubmed/36537836
http://dx.doi.org/10.1002/psp4.12905
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author Grisic, Ana‐Marija
Venkatakrishnan, Karthik
French, Jonathan
Khandelwal, Akash
author_facet Grisic, Ana‐Marija
Venkatakrishnan, Karthik
French, Jonathan
Khandelwal, Akash
author_sort Grisic, Ana‐Marija
collection PubMed
description Key elements of scientific writing—consistency and clarity—can be compromised in case of inaccurate use of methodological terms, especially in complex and multidisciplinary scientific fields. Such is the case in reports of pharmacometrics exposure–response analyses with the use of the terms univariate/multivariate and univariable/multivariable. This perspective outlines the issues in the use of these terms, clarifies their definitions, provides examples, and makes recommendations for authors, reviewers, and journals in the fields of clinical pharmacology and pharmacometrics.
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spelling pubmed-99314322023-02-16 Variable or variate? A conundrum in pharmacometrics exposure–response models Grisic, Ana‐Marija Venkatakrishnan, Karthik French, Jonathan Khandelwal, Akash CPT Pharmacometrics Syst Pharmacol Perspectives Key elements of scientific writing—consistency and clarity—can be compromised in case of inaccurate use of methodological terms, especially in complex and multidisciplinary scientific fields. Such is the case in reports of pharmacometrics exposure–response analyses with the use of the terms univariate/multivariate and univariable/multivariable. This perspective outlines the issues in the use of these terms, clarifies their definitions, provides examples, and makes recommendations for authors, reviewers, and journals in the fields of clinical pharmacology and pharmacometrics. John Wiley and Sons Inc. 2022-12-29 /pmc/articles/PMC9931432/ /pubmed/36537836 http://dx.doi.org/10.1002/psp4.12905 Text en © 2022 Merck KGaA and The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of 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 Perspectives
Grisic, Ana‐Marija
Venkatakrishnan, Karthik
French, Jonathan
Khandelwal, Akash
Variable or variate? A conundrum in pharmacometrics exposure–response models
title Variable or variate? A conundrum in pharmacometrics exposure–response models
title_full Variable or variate? A conundrum in pharmacometrics exposure–response models
title_fullStr Variable or variate? A conundrum in pharmacometrics exposure–response models
title_full_unstemmed Variable or variate? A conundrum in pharmacometrics exposure–response models
title_short Variable or variate? A conundrum in pharmacometrics exposure–response models
title_sort variable or variate? a conundrum in pharmacometrics exposure–response models
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931432/
https://www.ncbi.nlm.nih.gov/pubmed/36537836
http://dx.doi.org/10.1002/psp4.12905
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