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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Davidian, M; Gallant, AR

Published Date

  • October 1992

Published In

Volume / Issue

  • 20 / 5

Start / End Page

  • 529 - 556

PubMed ID

  • 1287201

Pubmed Central ID

  • 1287201

International Standard Serial Number (ISSN)

  • 0090-466X

Digital Object Identifier (DOI)

  • 10.1007/bf01061470

Language

  • eng