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Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models

Exposure–response modeling facilitates effective dosing regimen selection in clinical drug development, where the end points are often disease scores and not physiological variables. Appropriate models need to be consistent with pharmacology and identifiable from the time courses of available data....

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Detalles Bibliográficos
Autor principal: Hu, C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076802/
https://www.ncbi.nlm.nih.gov/pubmed/24897307
http://dx.doi.org/10.1038/psp.2014.15
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author Hu, C
author_facet Hu, C
author_sort Hu, C
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description Exposure–response modeling facilitates effective dosing regimen selection in clinical drug development, where the end points are often disease scores and not physiological variables. Appropriate models need to be consistent with pharmacology and identifiable from the time courses of available data. This article describes a general framework of applying mechanism-based models to various types of clinical end points. Placebo and drug model parameterization, interpretation, and assessment are discussed with a focus on the indirect response models.
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spelling pubmed-40768022014-07-01 Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models Hu, C CPT Pharmacometrics Syst Pharmacol Tutorial Exposure–response modeling facilitates effective dosing regimen selection in clinical drug development, where the end points are often disease scores and not physiological variables. Appropriate models need to be consistent with pharmacology and identifiable from the time courses of available data. This article describes a general framework of applying mechanism-based models to various types of clinical end points. Placebo and drug model parameterization, interpretation, and assessment are discussed with a focus on the indirect response models. Nature Publishing Group 2014-06 2014-06-04 /pmc/articles/PMC4076802/ /pubmed/24897307 http://dx.doi.org/10.1038/psp.2014.15 Text en Copyright © 2014 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Tutorial
Hu, C
Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models
title Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models
title_full Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models
title_fullStr Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models
title_full_unstemmed Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models
title_short Exposure–Response Modeling of Clinical End Points Using Latent Variable Indirect Response Models
title_sort exposure–response modeling of clinical end points using latent variable indirect response models
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076802/
https://www.ncbi.nlm.nih.gov/pubmed/24897307
http://dx.doi.org/10.1038/psp.2014.15
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