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

Author:

Ribba B1,Holford NH2,Magni P3,Trocóniz I4,Gueorguieva I5,Girard P6,Sarr C7,Elishmereni M8,Kloft C9,Friberg LE2

Affiliation:

1. INRIA, Project-Team NUMED, École Normale Supérieure de Lyon; Lyon France

2. Department of Pharmaceutical Biosciences; Uppsala University; Uppsala Sweden

3. Dipartimento di Ingegneria Industriale e dell'Informazione; Università degli Studi di Pavia; Pavia Italy

4. Department of Pharmacy and Pharmaceutical Technology, School of Pharmacy; University of Navarra; Pamplona Spain

5. Global PK/PD Department; Lilly Research Laboratories; Surrey UK

6. Merck Institute for Pharmacometrics, EPFL; Lausanne Switzerland

7. Advanced Quantitative Sciences Department; Novartis Pharma AG; Basel Switzerland

8. Optimata Ltd.; Bene Ataroth Israel

9. Department of Clinical Pharmacy and Biochemistry; Institute of Pharmacy, Freie Universitaet Berlin; Berlin Germany

Publisher

Wiley

Subject

Pharmacology (medical),Modelling and Simulation

Reference70 articles.

1. Tumor growth dynamics: insights into evolutionary processes;Rodriguez-Brenes;Trends Ecol. Evol.,2013

2. Mathematical modeling of tumor growth and tumor growth inhibition in oncology drug development;Bernard;Expert Opin. Drug Metab. Toxicol.,2012

3. Bender , B.C. Schindler , E. Friberg , L.E. Population pharmacokinetic pharmacodynamic modelling in oncology: a tool for predicting clinical response Br. J. Clin. Pharmacol. http://www.ncbi.nlm.nih.gov/pubmed/24134068

4. Modeling tumor growth in oncology;Bonate,2011

5. Dynamics of tumor growth;Laird;Br. J. Cancer,1964

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