Literature DB >> 6875812

On some stochastic formulations and related statistical moments of pharmacokinetic models.

J H Matis, T E Wehrly, C M Metzler.   

Abstract

This paper presents the deterministic and stochastic model for a linear compartment system with constant coefficients, and it develops expressions for the mean residence times (MRT) and the variances of the residence times (VRT) for the stochastic model. The expressions are relatively simple computationally, involving primarily matrix inversion, and they are elegant mathematically, in avoiding eigenvalue analysis and the complex domain. The MRT and VRT provide a set of new meaningful response measures for pharmacokinetic analysis and they give added insight into the system kinetics. The new analysis is illustrated with an example involving the cholesterol turnover in rats.

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Year:  1983        PMID: 6875812     DOI: 10.1007/bf01061769

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


  7 in total

1.  Theorems on linear systems.

Authors:  J Z HEARON
Journal:  Ann N Y Acad Sci       Date:  1963-05-10       Impact factor: 5.691

Review 2.  Kinetic analysis of turnover data.

Authors:  M Berman
Journal:  Prog Biochem Pharmacol       Date:  1979

Review 3.  Estimation of pharmacokinetic parameters: statistical considerations.

Authors:  C M Metzler
Journal:  Pharmacol Ther       Date:  1981       Impact factor: 12.310

4.  Statistical moments in pharmacokinetics.

Authors:  K Yamaoka; T Nakagawa; T Uno
Journal:  J Pharmacokinet Biopharm       Date:  1978-12

5.  The application of statistical moment theory to the evaluation of in vivo dissolution time and absorption time.

Authors:  S Riegelman; P Collier
Journal:  J Pharmacokinet Biopharm       Date:  1980-10

6.  The matrix representation of pharmacokinetic models.

Authors:  M R Kibby
Journal:  J Theor Biol       Date:  1979-04-07       Impact factor: 2.691

7.  Effects of colestipol hydrochloride and neomycin sulfate on cholesterol turnover in the rat.

Authors:  W A Phillips; G L Elfring
Journal:  Lipids       Date:  1977-01       Impact factor: 1.880

  7 in total
  11 in total

1.  A general approach to non-Markovian compartmental models.

Authors:  J H Matis; T E Wehrly
Journal:  J Pharmacokinet Biopharm       Date:  1998-08

Review 2.  Mean time parameters in pharmacokinetics. Definition, computation and clinical implications (Part II).

Authors:  P Veng-Pedersen
Journal:  Clin Pharmacokinet       Date:  1989-12       Impact factor: 6.447

3.  Mean time parameters for generalized physiological flow models (semihomogeneous linear systems).

Authors:  D Verotta; L B Sheiner; S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1991-06

4.  Generalized stochastic compartmental models with Erlang transit times.

Authors:  J H Matis; T E Wehrly
Journal:  J Pharmacokinet Biopharm       Date:  1990-12

5.  The sojourn time and its prospective use in pharmacology.

Authors:  G Segre
Journal:  J Pharmacokinet Biopharm       Date:  1988-12

6.  Commentary to "Linear and Nonlinear System Approaches in Pharmacokinetics. How much do they have to offer? I. General considerations".

Authors:  R A Siegel
Journal:  J Pharmacokinet Biopharm       Date:  1988-12

7.  Some clarifications regarding moments of residence times with pharmacokinetic models.

Authors:  S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1987-02

8.  Mean residence time in peripheral tissue.

Authors:  P J McNamara; J C Fleishaker; T L Hayden
Journal:  J Pharmacokinet Biopharm       Date:  1987-08

9.  Generalizations in linear pharmacokinetics using properties of certain classes of residence time distributions. I. Log-convex drug disposition curves.

Authors:  M Weiss
Journal:  J Pharmacokinet Biopharm       Date:  1986-12

10.  A note on the rôle of generalized inverse Gaussian distributions of circulatory transit times in pharmacokinetics.

Authors:  M Weiss
Journal:  J Math Biol       Date:  1984       Impact factor: 2.259

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