A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis

Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics o...

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Autores principales: Ribba, B, Holford, N H, Magni, P, Trocóniz, I, Gueorguieva, I, Girard, P, Sarr, C, Elishmereni, M, Kloft, C, Friberg, L E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050233/
https://www.ncbi.nlm.nih.gov/pubmed/24806032
http://dx.doi.org/10.1038/psp.2014.12
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author Ribba, B
Holford, N H
Magni, P
Trocóniz, I
Gueorguieva, I
Girard, P
Sarr, C
Elishmereni, M
Kloft, C
Friberg, L E
author_facet Ribba, B
Holford, N H
Magni, P
Trocóniz, I
Gueorguieva, I
Girard, P
Sarr, C
Elishmereni, M
Kloft, C
Friberg, L E
author_sort Ribba, B
collection PubMed
description Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology.
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spelling pubmed-40502332014-06-25 A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis Ribba, B Holford, N H Magni, P Trocóniz, I Gueorguieva, I Girard, P Sarr, C Elishmereni, M Kloft, C Friberg, L E CPT Pharmacometrics Syst Pharmacol Review Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology. Nature Publishing Group 2014-05 2014-05-07 /pmc/articles/PMC4050233/ /pubmed/24806032 http://dx.doi.org/10.1038/psp.2014.12 Text en Copyright © 2014 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 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/3.0/
spellingShingle Review
Ribba, B
Holford, N H
Magni, P
Trocóniz, I
Gueorguieva, I
Girard, P
Sarr, C
Elishmereni, M
Kloft, C
Friberg, L E
A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis
title A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis
title_full A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis
title_fullStr A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis
title_full_unstemmed A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis
title_short A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis
title_sort review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050233/
https://www.ncbi.nlm.nih.gov/pubmed/24806032
http://dx.doi.org/10.1038/psp.2014.12
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