Literature DB >> 30607795

Application of new measures of nonlinearity to parameter estimation and simulations in individual pharmacokinetic analyses.

Leonid Khinkis1, Milburn Crotzer2.   

Abstract

Since simulation studies are widely used in pharmacokinetics, it is necessary to ascertain their validity. An important, well-documented, concern that may negatively impact the validity of estimated parameters in pharmacokinetic models is existence of multiple minima of the criterion used in estimation. A presence of multiple minima causes instability of the estimates, dependence of the parameter estimates on the initial values, and bimodal (or, generally, multimodal) distributions of the estimated parameters. This paper offers a method to identify when these issues may occur by applying two new measures of nonlinearity.

Keywords:  Compartmental models; Michaelis–Menten model; Nonlinear parameter estimation; Pharmacokinetic models; Simulation

Mesh:

Substances:

Year:  2019        PMID: 30607795     DOI: 10.1007/s10928-018-09616-1

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  3 in total

Review 1.  Use of statistical methods in evaluation of in vivo performance of dosage forms.

Authors:  W J Westlake
Journal:  J Pharm Sci       Date:  1973-10       Impact factor: 3.534

Review 2.  Estimation of pharmacokinetic parameters: statistical considerations.

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

3.  A simulation study of parameter estimation in the one and two compartment models.

Authors:  P M Laskarzewski; D L Weiner; L Ott
Journal:  J Pharmacokinet Biopharm       Date:  1982-06
  3 in total

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