The nonlinear mixed effects model with a smooth random effects density

Marie Davidian, A. Ronald Gallant

Research output: Contribution to journalArticle

140 Scopus citations

Abstract

SUMMARY: The fixed parameters of the nonlinear mixed effects model and the density of the random effects are estimated jointly by maximum likelihood. The density of the random effects is assumed to be smooth but is otherwise unrestricted. The method uses a series expansion that follows from the smoothness assumption to represent the density and quadrature to compute the likelihood. Standard algorithms are used for optimization. Empirical Bayes estimates of random coefficients are obtained by computing posterior modes. The method is applied to data from pharmacokinetics, and properties of the method are investigated by application to simulated data.

Original languageEnglish (US)
Pages (from-to)475-488
Number of pages14
JournalBiometrika
Volume80
Issue number3
DOIs
StatePublished - Sep 1 1993

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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