Models for Discrete Longitudinal Data - Couverture rigide

Livre 76 sur 160: Springer Series in Statistics

Molenberghs, Geert; Verbeke, Geert

 
9780387251448: Models for Discrete Longitudinal Data

Synopsis

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package. The text is organized so the reader can skip the software-oriented chapters and sections without breaking the logical flow.

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Présentation de l'éditeur

The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book. Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package. The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781441920430: Models for Discrete Longitudinal Data

Edition présentée

ISBN 10 :  1441920439 ISBN 13 :  9781441920430
Editeur : Springer, 2010
Couverture souple