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Titlebook: Dynamic Mixed Models for Familial Longitudinal Data; Brajendra C. Sutradhar Book 20111st edition Springer Science+Business Media, LLC 2011

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書目名稱Dynamic Mixed Models for Familial Longitudinal Data
編輯Brajendra C. Sutradhar
視頻videohttp://file.papertrans.cn/284/283646/283646.mp4
概述Provides a clear direction for accurate familial and longitudinal data analysis by presenting differences between the familial and longitudinal correlation models.Deals with non-stationary longitudina
叢書名稱Springer Series in Statistics
圖書封面Titlebook: Dynamic Mixed Models for Familial Longitudinal Data;  Brajendra C. Sutradhar Book 20111st edition Springer Science+Business Media, LLC 2011
描述.This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized to develop theoretically sound inference techniques such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existing ‘working’ correlations based GEE (generalized.estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is not suitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal data collected from the members of a large number of ind
出版日期Book 20111st edition
關(guān)鍵詞GEE approaches and drawbacks; Generalized linear longitudinal mixed models (GLLMM); Generalized linear
版次1
doihttps://doi.org/10.1007/978-1-4419-8342-8
isbn_softcover978-1-4614-2801-5
isbn_ebook978-1-4419-8342-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer Science+Business Media, LLC 2011
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Book 20111st editionapproach is not suitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal data collected from the members of a large number of ind
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Dynamic Mixed Models for Familial Longitudinal Data978-1-4419-8342-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
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