Variable selection for semiparametric mixed models in longitudinal studies

Biometrics

Volumn 66, Issue 1, 2010, Pages 79-88

  Ni, Xiao ^a   Zhang, Daowen ^b   Zhang, Hao Helen ^b  

^a GLAXOSMITHKLINE   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Correlated data; Gaussian stochastic process; Linear mixed models; Smoothing splines; Smoothly clipped absolute deviation

Indexed keywords

PARAMETER ESTIMATION; RANDOM PROCESSES; STOCHASTIC MODELS;

CORRELATED DATA; GAUSSIAN STOCHASTIC PROCESS; LINEAR MIXED MODELS; LONGITUDINAL STUDY; MIXED MODELING; NONPARAMETRICS; SEMIPARAMETRIC; SMOOTHING SPLINE; SMOOTHLY CLIPPED ABSOLUTE DEVIATION; VARIABLES SELECTIONS;

STOCHASTIC SYSTEMS;

BAYESIAN ANALYSIS; COMPUTER SIMULATION; DATA ACQUISITION; DATA SET; ESTIMATION METHOD; MODEL TEST; NUMERICAL MODEL; PARAMETERIZATION; REGRESSION ANALYSIS; SMOOTHING; SOFTWARE; VARIANCE ANALYSIS;

ALGORITHM; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; EPIDEMIOLOGY; INFORMATION RETRIEVAL; LONGITUDINAL STUDY; PROCEDURES; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; INFORMATION STORAGE AND RETRIEVAL; LONGITUDINAL STUDIES; MODELS, STATISTICAL;

EID: 77949718272     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01240.x     Document Type: Article

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