Literature DB >> 6747821

Analysis of pharmacokinetic data using parametric models--1: Regression models.

L B Sheiner.   

Abstract

This is the first in a series of tutorial articles discussing the analysis of pharmacokinetic data using parametric models. In this article, the purposes of modelling are discussed; regression models for individuals and populations are defined; and structural and variance models are discussed as the two required submodels of the overall regression model. Topics of future articles are: point estimates of parameters; interval estimates of parameters; model criticism and choosing among contending models; population kinetic models and estimation; and elements of optimal design.

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Year:  1984        PMID: 6747821     DOI: 10.1007/BF01063613

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  2 in total

Review 1.  Estimating population kinetics.

Authors:  S L Beal; L B Sheiner
Journal:  Crit Rev Biomed Eng       Date:  1982

2.  A comparison of numerical integrating algorithms by trapezoidal, Lagrange, and spline approximation.

Authors:  K C Yeh; K C Kwan
Journal:  J Pharmacokinet Biopharm       Date:  1978-02
  2 in total
  11 in total

1.  On average: data exploration based on means can be misleading.

Authors:  Adrian Dunne; Mila Etropolski; An Vermeulen; Partha Nandy
Journal:  AAPS J       Date:  2011-12-22       Impact factor: 4.009

2.  Mathematical model for in vivo pharmacodynamics integrating fluctuation of the response: application to the prolactin suppressant effect of the dopaminomimetic drug DCN 203-922.

Authors:  P Francheteau; J L Steimer; C Dubray; D Lavene
Journal:  J Pharmacokinet Biopharm       Date:  1991-06

Review 3.  Adaptive control methods for the dose individualisation of anticancer agents.

Authors:  A Rousseau; P Marquet; J Debord; C Sabot; G Lachâtre
Journal:  Clin Pharmacokinet       Date:  2000-04       Impact factor: 6.447

4.  Analysis of pharmacokinetic data using parametric models. III. Hypothesis tests and confidence intervals.

Authors:  L B Sheiner
Journal:  J Pharmacokinet Biopharm       Date:  1986-10

5.  OMNE: a new robust membership-set estimator for the parameters of nonlinear models.

Authors:  H Lahanier; E Walter; R Gomeni
Journal:  J Pharmacokinet Biopharm       Date:  1987-04

6.  Analysis of pharmacokinetic data using parametric models. II. Point estimates of an individual's parameters.

Authors:  L B Sheiner
Journal:  J Pharmacokinet Biopharm       Date:  1985-10

7.  Renal elimination of amikacin and the aging process.

Authors:  M Ducher; P Maire; C Cerutti; Y Bourhis; F Foltz; P Sorensen; R Jelliffe; J P Fauvel
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

8.  Pharmacokinetics of isosorbide dinitrate and its mononitrate metabolites after intravenous infusion.

Authors:  Y Santoni; A Iliadis; J P Cano; R Luccioni; Y Frances
Journal:  J Pharmacokinet Biopharm       Date:  1986-02

Review 9.  Statistical considerations in pharmacokinetic study design.

Authors:  J D Powers
Journal:  Clin Pharmacokinet       Date:  1993-05       Impact factor: 6.447

10.  Quantitative Characterization of Population-Wide Tissue- and Metabolite-Specific Variability in Perchloroethylene Toxicokinetics in Male Mice.

Authors:  Chimeddulam Dalaijamts; Joseph A Cichocki; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Sci       Date:  2021-08-03       Impact factor: 4.849

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