Some general estimation methods for nonlinear mixed-effects models.

Journal Article (Journal Article)

A nonlinear mixed-effects model suitable for characterizing repeated measurement data is described. The model allows dependence of random coefficients on covariate information and accommodates general specifications of a common intraindividual covariance structure, such as models for variance within individuals that depend on individual mean response and autocorrelation. Two classes of procedures for estimation in this model are described, which incorporate estimation of unknown parameters in the assumed intraindividual covariance structure. The procedures are straightforward to implement using standard statistical software. The techniques are illustrated by examples in growth analysis and assay development.

Full Text

Duke Authors

Cited Authors

  • Davidian, M; Giltinan, DM

Published Date

  • March 1, 1993

Published In

Volume / Issue

  • 3 / 1

Start / End Page

  • 23 - 55

PubMed ID

  • 8485535

International Standard Serial Number (ISSN)

  • 1054-3406

Digital Object Identifier (DOI)

  • 10.1080/10543409308835047


  • eng

Conference Location

  • England