Linear Mixed Models for Longitudinal Data is popular PDF and ePub book, written by Geert Verbeke in 2009-05-12, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Linear Mixed Models for Longitudinal Data can be Read Online from any device for your convenience.
Linear Mixed Models for Longitudinal Data Book PDF Summary
This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.
Detail Book of Linear Mixed Models for Longitudinal Data PDF
- Author : Geert Verbeke
- Release : 12 May 2009
- Publisher : Springer Science & Business Media
- ISBN : 9781441903006
- Genre : Mathematics
- Total Page : 579 pages
- Language : English
- PDF File Size : 12,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Linear Mixed Models for Longitudinal Data by Geert Verbeke, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.