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Longitudinal data analysis: a handbook of modern statistical methods
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
CRC Press
2008
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2237762 |
Sumario: | Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data. After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint |
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