PMID: 9194270Jun 15, 1997Paper

Comparison of population pharmacokinetic modeling methods using simulated data: results from the Population Modeling Workgroup

Statistics in Medicine
D J Roe

Abstract

Statistical modeling methods have had increasing use in drug disposition studies, both to estimate pharmacokinetic parameters and to develop regression models that relate these parameter estimates to patient characteristics. These methods are particularly flexible as they allow non-linearity and sparse within-patient information. In the past few years, multiple analysis methods have become available, but there is a lack of systematic comparisons of their estimates on the same data sets. Two simulated data sets were therefore developed by the Population Modeling Workgroup of the Biopharmaceutical Section of the American Statistical Association. We analysed these data sets using seven population modeling programs, some of which contain multiple analysis methods. Although each data set represents a single replicate from a given model and data collection design, the results suggest that the behaviour of some methods differs from that of the others.

Citations

Jan 7, 1999·Drug Development and Industrial Pharmacy·K A Jackson, S E Rosenbaum
Sep 2, 2006·Statistics in Medicine·Deborah Ashby
Dec 15, 2010·Journal of Clinical Pharmacy and Therapeutics·C T YangT W M Tam
Jun 11, 2003·Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism·Martin D KingDavid G Gadian
Jan 12, 2007·Journal of Pharmacokinetics and Pharmacodynamics·Céline DartoisPascal Girard
Oct 14, 2005·Journal of Pharmacokinetics and Pharmacodynamics·Christoffer W TornøeE Niclas Jonsson
Nov 12, 2005·Journal of Pharmacokinetics and Pharmacodynamics·Goonaseelan Colin PillaiJean-Louis Steimer

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