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

Marie Davidian, Andrew Ronald Gallant

Research output: Contribution to journalArticle

91 Citations (Scopus)

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

Fingerprint

Quinidine
Pharmacokinetics
Population
Therapeutics

All Science Journal Classification (ASJC) codes

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

Cite this

@article{f087940378674434a056722a1ba270ec,
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 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.",
author = "Marie Davidian and Gallant, {Andrew Ronald}",
year = "1992",
month = "10",
day = "1",
doi = "10.1007/BF01061470",
language = "English (US)",
volume = "20",
pages = "529--556",
journal = "Journal of Pharmacokinetics and Pharmacodynamics",
issn = "1567-567X",
publisher = "Springer New York",
number = "5",

}

TY - JOUR

T1 - Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine

AU - Davidian, Marie

AU - Gallant, Andrew Ronald

PY - 1992/10/1

Y1 - 1992/10/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0027065554&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027065554&partnerID=8YFLogxK

U2 - 10.1007/BF01061470

DO - 10.1007/BF01061470

M3 - Article

VL - 20

SP - 529

EP - 556

JO - Journal of Pharmacokinetics and Pharmacodynamics

JF - Journal of Pharmacokinetics and Pharmacodynamics

SN - 1567-567X

IS - 5

ER -