Works Published in 1993

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1993 journal article

The nonlinear mixed effects model with a smooth random effects density

Biometrika, 80(3), 475–488.

By: M. Davidian n & A. Gallant n

TL;DR: The fixed parameters of the nonlinear mixed effects model and the density of the random effects are estimated jointly by maximum likelihood by using a series expansion that follows from the smoothness assumption to represent the density and quadrature to compute the likelihood. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 24, 2020

1993 journal article

Analysis of repeated measurement data using the nonlinear mixed effects model

Chemometrics and Intelligent Laboratory Systems, 20(1), 1–24.

By: M. Davidian* & D. Giltinan

TL;DR: In this tutorial, the NME model has been used to describe repeated measurement data for which the mean response function is nonlinear, and several methods are given for estimation and inference in the context of the model. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Sources: Crossref, ORCID
Added: January 24, 2020

1993 journal article

Some Simple Methods for Estimating Intraindividual Variability in Nonlinear Mixed Effects Models

Biometrics, 49(1), 59.

By: M. Davidian* & D. Giltinan

author keywords: CALIBRATION; GENERALIZED LEAST SQUARES; HETEROSCEDASTICITY; INTEREXPERIMENT VARIABILITY; PHARMACOKINETICS; VARIANCE FUNCTION ESTIMATION
UN Sustainable Development Goal Categories
Sources: Crossref, ORCID
Added: January 24, 2020

1993 journal article

Some general estimation methods for nonlinear mixed-effects model

Journal of Biopharmaceutical Statistics, 3(1), 23–55.

By: M. Davidian n & D. Giltinan

MeSH headings : Calibration; Computer Simulation; Data Interpretation, Statistical; Dose-Response Relationship, Drug; Female; Humans; Least-Squares Analysis; Likelihood Functions; Models, Biological; Models, Statistical; Relaxin / pharmacology; Software; Soybeans / growth & development
TL;DR: A nonlinear mixed-effects model suitable for characterizing repeated measurement data and two classes of procedures for estimation in this model are described, which incorporate estimation of unknown parameters in the assumed intraindividual covariance structure. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 24, 2020

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