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Dynamic Mixed Models for Familial Longitudinal Data (Springer Series in Statistics)

Автор: Brajendra C. Sutradhar
Год: 2011
Издание: [не указанo]
Страниц: 506
ISBN: 1441983414
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 a??workinga?? correlations based GEE (generalizedestimating 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...
Добавлено: 2013-10-22 16:02:17

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