Fixed and Random Effects Selection in Mixed Effects Models

We consider selecting both fixed and random effects in a general class of mixed effects models using maximum penalized likelihood (MPL) estimation along with the smoothly clipped absolute deviation (SCAD) and adaptive least absolute shrinkage and selection operator (ALASSO) penalty functions. The MP...

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Veröffentlicht in:	Biometrics 2011-06, Vol.67 (2), p.495-503
Hauptverfasser:	Ibrahim, Joseph G., Zhu, Hongtu, Garcia, Ramon I., Guo, Ruixin
Format:	Artikel
Sprache:	eng
Schlagworte:	ALASSO Bioinformatics BIOMETRIC METHODOLOGY Biometrics Biometry - methods Cholesky decomposition Computer Simulation Covariance matrices Datasets EM algorithm Estimation methods Estimators Gestational age Growth Humans ICQ criterion Infant Infant growth Infants Likelihood Functions Mathematical models Maximum likelihood estimation Medical research Mixed effects selection Models, Statistical Penalized likelihood Penalty function SCAD Statistical methods
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