Semiparametric Nonlinear Mixed-Effects Models and Their Applications

Nonlinear mixed effects models (NLMMs) and self-modeling nonlinear regression (SEMOR) models are often used to fit repeated measures data. They use a common function shared by all subjects to model variation within each subject and some fixed and/or random parameters to model variation between subje...

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Veröffentlicht in:	Journal of the American Statistical Association 2001-12, Vol.96 (456), p.1272-1298
Hauptverfasser:	Ke, Chunlei, Wang, Yuedong
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Confidence interval Data smoothing Estimation Inference Mathematical independent variables Modeling Multilevel models Non-linear models Nonlinear mixed effects model Nonparametric models Parametric models Penalized likelihood Regression analysis Repeated measures Self-modeling nonlinear regression Simulation Smoothing spline Statistical methods Statistical models Statistical variance Statistics Theory and Methods Values
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