Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine

Marie Davidian, A. Ronald Gallant

Research output: Contribution to journalArticle

93 Scopus citations

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 modelbuilding 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.

Original languageEnglish (US)
Pages (from-to)529-556
Number of pages28
JournalJournal of Pharmacokinetics and Biopharmaceutics
Volume20
Issue number5
DOIs
StatePublished - Oct 1 1992

All Science Journal Classification (ASJC) codes

  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Pharmacology (medical)

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