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...

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Detalles Bibliográficos
Autores principales: Fitzmaurice, Garrett, Davidian, Marie, Verbeke, Geert, Molenberghs, Geert
Lenguaje:eng
Publicado: CRC Press 2008
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2237762
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author Fitzmaurice, Garrett
Davidian, Marie
Verbeke, Geert
Molenberghs, Geert
author_facet Fitzmaurice, Garrett
Davidian, Marie
Verbeke, Geert
Molenberghs, Geert
author_sort Fitzmaurice, Garrett
collection CERN
description 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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spelling cern-22377622021-04-21T19:25:51Zhttp://cds.cern.ch/record/2237762engFitzmaurice, GarrettDavidian, MarieVerbeke, GeertMolenberghs, GeertLongitudinal data analysis: a handbook of modern statistical methodsMathematical Physics and MathematicsAlthough 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, jointCRC Pressoai:cds.cern.ch:22377622008
spellingShingle Mathematical Physics and Mathematics
Fitzmaurice, Garrett
Davidian, Marie
Verbeke, Geert
Molenberghs, Geert
Longitudinal data analysis: a handbook of modern statistical methods
title Longitudinal data analysis: a handbook of modern statistical methods
title_full Longitudinal data analysis: a handbook of modern statistical methods
title_fullStr Longitudinal data analysis: a handbook of modern statistical methods
title_full_unstemmed Longitudinal data analysis: a handbook of modern statistical methods
title_short Longitudinal data analysis: a handbook of modern statistical methods
title_sort longitudinal data analysis: a handbook of modern statistical methods
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2237762
work_keys_str_mv AT fitzmauricegarrett longitudinaldataanalysisahandbookofmodernstatisticalmethods
AT davidianmarie longitudinaldataanalysisahandbookofmodernstatisticalmethods
AT verbekegeert longitudinaldataanalysisahandbookofmodernstatisticalmethods
AT molenberghsgeert longitudinaldataanalysisahandbookofmodernstatisticalmethods

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