Models For Discrete Longitudinal Data


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Models for Discrete Longitudinal Data


Models for Discrete Longitudinal Data

Author: Geert Molenberghs

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-08-30


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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.

Models for Discrete Longitudinal Data


Models for Discrete Longitudinal Data

Author: Geert Molenberghs

language: en

Publisher:

Release Date: 2005


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Longitudinal Data Analysis


Longitudinal Data Analysis

Author: Garrett Fitzmaurice

language: en

Publisher: CRC Press

Release Date: 2008-08-11


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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