title: Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine.
abstract: The seminonparametric (SNP) method, popular in the econometrics literature, is proposed for use in population pharmacokinetic analysis. For data that can be described by the nonlinear mixed effects model, the method produces smooth nonparametric estimates of the entire random effects density and simultaneous estimates of fixed effects by maximum likelihood. A graphical model-building strategy based on the SNP method is described. The methods are illustrated by a population analysis of plasma levels in 136 patients undergoing oral quinidine therapy.
authors.affiliation: Department of Statistics, North Carolina State University, Raleigh 27695-8203.
authors.forename: M
authors.initials: M
authors.lastname: Davidian
authors.forename: A R
authors.initials: AR
authors.lastname: Gallant
mesh_terms: D000042:Absorption; D001499:Bayes Theorem; D005260:Female; D014644:Genetic Variation / Q000502:physiology; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D008722:Methods; D008954:Models, Biological; D010599:Pharmacokinetics; D011153:Population; D011802:Quinidine / Q000493:pharmacokinetics*; D012984:Software
chemical_list: D011802:Quinidine