Literature DB >> 6754254

Estimating population kinetics.

S L Beal, L B Sheiner.   

Abstract

This paper will review the methods that have been advanced for the estimation of parameters of models quantifying the population characteristics of the kinetic behavior of endogenous and exogenous substances in individuals of the population. Such methods are used frequently, for example, in pharmacokinetic studies. In certain populations, especially biological ones, considerable kinetic variability between population members is present. The models with which we are concerned describe this variability. Some interindividual kinetic variability may be explainable on the basis of measureable concomitant variables, but much of it may remain unexplainable on such a basis. We give this matter particular attention. The assumptions underlying the models are critically discussed.

Mesh:

Year:  1982        PMID: 6754254

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  93 in total

1.  Assessment of actual significance levels for covariate effects in NONMEM.

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2.  Dynamic conditionally linear mixed models for longitudinal data.

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3.  Assessment of type I error rates for the statistical sub-model in NONMEM.

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-06       Impact factor: 2.745

4.  Building population pharmacokinetic--pharmacodynamic models. I. Models for covariate effects.

Authors:  J W Mandema; D Verotta; L B Sheiner
Journal:  J Pharmacokinet Biopharm       Date:  1992-10

5.  Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine.

Authors:  M Davidian; A R Gallant
Journal:  J Pharmacokinet Biopharm       Date:  1992-10

6.  Evaluation of type I error rates when modeling ordered categorical data in NONMEM.

Authors:  Ulrika Wählby; Katalin Matolcsi; Mats O Karlsson; E Niclas Jonsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-02       Impact factor: 2.745

7.  An evaluation of point and interval estimates in population pharmacokinetics using NONMEM analysis.

Authors:  D B White; C A Walawander; Y Tung; T H Grasela
Journal:  J Pharmacokinet Biopharm       Date:  1991-02

Review 8.  Non-linear mixed effects modeling - from methodology and software development to driving implementation in drug development science.

Authors:  Goonaseelan Colin Pillai; France Mentré; Jean-Louis Steimer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-11-07       Impact factor: 2.745

9.  Statistical identifiability and convergence evaluation for nonlinear pharmacokinetic models with particle swarm optimization.

Authors:  Seongho Kim; Lang Li
Journal:  Comput Methods Programs Biomed       Date:  2013-10-22       Impact factor: 5.428

10.  Network pharmacodynamic models for customized cancer therapy.

Authors:  James M Gallo; Marc R Birtwistle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-04-24
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