Model Selection for Generalized Estimating Equations Accommodating Dropout Missingness

The generalized estimating equation (GEE) has been a popular tool for marginal regression analysis with longitudinal data, and its extension, the weighted GEE approach, can further accommodate data that are missing at random (MAR). Model selection methodologies for GEE, however, have not been system...

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Veröffentlicht in:	Biometrics 2012-12, Vol.68 (4), p.1046-1054
Hauptverfasser:	Shen, Chung‐Wei, Chen, Yi‐Hau
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical estimating BIOMETRIC METHODOLOGY Biometrics biometry Biometry - methods Clinical outcomes Correlations Data Interpretation, Statistical Drug design Epidemiologic Methods equations Estimating techniques Longitudinal data Longitudinal Studies Missing data Modeling Models, Statistical Parametric models Regression Analysis Repeated measures Sample Size School dropouts
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