Nonlinear Models for Repeated Measurement Data: An Overview and Update

Nonlinear mixed effects models for data in the form of continuous, repeated measurements on each of a number of individuals, also known as hierarchical nonlinear models, are a popular platform for analysis when interest focuses on individual-specific characteristics. This framework first enjoyed wid...

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Veröffentlicht in:	Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 2003-12, Vol.8 (4), p.387-419
Hauptverfasser:	Davidian, Marie, Giltinan, David M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Biometrics Computer applications Computer software Covariance matrices Data processing Drug design Editor's Invited Article Inference Modeling Multilevel models Parametric models Pharmacokinetics Q1 Reviews Statistical analysis
Online-Zugang:	Volltext
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