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Quasi-least squares regression

Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generaliz...

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Detalles Bibliográficos
Autores principales: Shults, Justine, Hilbe, Joseph M
Lenguaje:eng
Publicado: Taylor and Francis 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1985570
Descripción
Sumario:Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitu