Literature DB >> 24378914

Parameterisation affects identifiability of population models.

Vittal Shivva1, Julia Korell, Ian G Tucker, Stephen B Duffull.   

Abstract

Identifiability is an important aspect of model development. In this work, using a simple one compartment population pharmacokinetic model, we show that identifiability of the variances of the random effects parameters are affected by the parameterisation of the fixed effects parameters.

Mesh：

Year:  2013        PMID： 24378914     DOI： 10.1007/s10928-013-9347-8

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


  2 in total

1.  The Bateman function revisited: a critical reevaluation of the quantitative expressions to characterize concentrations in the one compartment body model as a function of time with first-order invasion and first-order elimination.

Authors:  E R Garrett
Journal:  J Pharmacokinet Biopharm       Date:  1994-04

2.  An approach for identifiability of population pharmacokinetic-pharmacodynamic models.

Authors:  V Shivva; J Korell; I G Tucker; S B Duffull
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-06-19
  2 in total
  4 in total

1.  A Joint Model for Vitamin K-Dependent Clotting Factors and Anticoagulation Proteins.

Authors:  Qing Xi Ooi; Daniel F B Wright; R Campbell Tait; Geoffrey K Isbister; Stephen B Duffull
Journal:  Clin Pharmacokinet       Date:  2017-12       Impact factor: 6.447

2.  Structural identifiability and sensitivity.

Authors:  Athanassios Iliadis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-03-20       Impact factor: 2.745

3.  Deterministic identifiability of population pharmacokinetic and pharmacokinetic-pharmacodynamic models.

Authors:  Vijay K Siripuram; Daniel F B Wright; Murray L Barclay; Stephen B Duffull
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-06-13       Impact factor: 2.745

4.  What do we mean by identifiability in mixed effects models?

Authors:  Marc Lavielle; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-12-10       Impact factor: 2.745
  4 in total

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