Ebook: Models for Discrete Longitudinal Data (Springer Series in Statistics)
Author: Geert Molenberghs Geert Verbeke
- Series: Springer Series in Statistics
- Year: 2005
- Publisher: Springer
- Language: English
- pdf
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.
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