Current Use and Developments Needed for Optimal Design in Pharmacometrics: A Study Performed Among DDMoRe's European Federation of Pharmaceutical Industries and Associations Members

Methods and software tools for optimal design in nonlinear mixed effect models, based on the Fisher information matrix, have been developed for a decade.1,2 Academic groups regularly proposed new versions.3–5 Present tools do not incorporate adaptive designs for these models although prior informati...

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Published inCPT: pharmacometrics and systems pharmacology Vol. 2; no. 6; pp. 1 - 2
Main Authors Mentré, F, Chenel, M, Comets, E, Grevel, J, Hooker, A, Karlsson, MO, Lavielle, M, Gueorguieva, I
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.06.2013
American Society for Clinical Pharmacology and Therapeutics ; International Society of Pharmacometrics
Nature Publishing Group
Subjects
Consortia
Design optimization
Drug development
Interoperability
Mathematics
Pharmaceutical industry
Questionnaires
Software
Statistics
Studies
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Summary:Methods and software tools for optimal design in nonlinear mixed effect models, based on the Fisher information matrix, have been developed for a decade.1,2 Academic groups regularly proposed new versions.3–5 Present tools do not incorporate adaptive designs for these models although prior information is needed and adaptive designs are increasingly used in drug development.6 We conducted a study among drug companies of the Drug and Disease Model Resources consortium7 to identify current practices and expectations. CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e46; doi:10.1038/psp.2013.19; advance online publication 5 June 2013
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2163-8306
2163-8306
DOI:10.1038/psp.2013.19