Statistical methods for population pharmacokinetic modelling.
A principal aim of population pharmacokinetic studies is to estimate the variance components associated with intra- and inter-individual variability in observed drug concentrations. The explanation of the inter-individual variability in terms of subject-specific covariates is also of great importance. Pharmacokinetic models are nonlinear in the parameters and estimation is not straightforward. Within this paper we review a number of estimation approaches which have been suggested for population pharmacokinetic analyses. We distinguish between Bayesian and non-Bayesian and fully-parametric, semi-parametric and nonparametric methods.
Racine-Poon
A
A
Pharma Division, Novartis, Basel, Switzerland. wara@chbs.ciba.com
Wakefield
J
J
D000704:Analysis of Variance; D000925:Anticoagulants / Q000008:administration & dosage / Q000493:pharmacokinetics; D019644:Arthroplasty, Replacement, Hip; D001499:Bayes Theorem; D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D006629:Hirudins / Q000008:administration & dosage / Q000031:analogs & derivatives / Q000493:pharmacokinetics; D006801:Humans; D016013:Likelihood Functions; D008954:Models, Biological; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D010599:Pharmacokinetics; D011994:Recombinant Proteins / Q000008:administration & dosage / Q000493:pharmacokinetics
D000925:Anticoagulants; D006629:Hirudins; D011994:Recombinant Proteins; C060225:desirudin