Linear mixed models: a practical guide using statistical software

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Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of cluste...

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Detalles Bibliográficos
Autores principales: West, Brady T, Welch, Kathleen B, Galecki, Andrzej T
Lenguaje:eng
Publicado: CRC Press 2006
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2066197
Descripción
Sumario:Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-navigate reference details the use of procedures for fitting LMMs in five popular statistical software packages: SAS, SPSS, Stata, R/S-plus, and HLM. The authors introduce basic theoretical concepts, present a heuristic approach to fitting LMMs based on bo

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