Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), <b>Linear Mixed Models: A Practical Guide Using Statistical Software</b> provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of
Linear Mixed Models in Practice: A SAS-Oriented Approach
β Scribed by Geert Verbeke, Geert Molenberghs (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 1997
- Tongue
- English
- Leaves
- 318
- Series
- Lecture Notes in Statistics 126
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The dissemination of the MIXED procedure in SAS has provided a whole class of statistical models for routine use. We believe that both the ideas beΒ hind the techniques and their implementation in SAS are not at all straightΒ forward and users from various applied backgrounds, including the pharΒ maceutical industry, have experienced difficulties in using the procedure effectively. Courses and consultancy on PROC MIXED have been in great demand in recent years, illustrating the clear need for resource material to aid the user. This book is intended as a contribution to bridging this gap. We hope the book will be of value to a wide audience, including applied statisticians and many biomedical researchers, particularly in the pharmaΒ ceutical industry, medical and public health research organizations, conΒ tract research organizations, and academic departments. This implies that our book is explanatory rather than research oriented and that it emphaΒ sizes practice rather than mathematical rigor. In this respect, clear guidance and advice on practical issues are the main focus of the text. Nevertheless, this does not imply that more advanced topics have been avoided. Sections containing material of a deeper level have been sign posted by means of an asterisk.
β¦ Table of Contents
Front Matter....Pages i-xv
Introduction....Pages 1-9
An Example-Based Tour in Linear Mixed Models....Pages 11-61
Linear Mixed Models for Longitudinal Data....Pages 63-153
Case Studies....Pages 155-189
Linear Mixed Models and Missing Data....Pages 191-274
Back Matter....Pages 275-308
β¦ Subjects
Statistics for Life Sciences, Medicine, Health Sciences
π SIMILAR VOLUMES
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