Linear mixed models for longitudinal data
By: Geert Verbeke, Geert Molenberghs.
Contributors: Molenberghs, Geert.
Series: Springer series in statistics
Publisher: Springer
Published: 2000
Place of publication: New York
Language: eng
Number of pages: 568
Subjects: Linear models (Statistics); Longitudinal method.; Statistics -- methods.; Linear Models.; Longitudinal Studies.
Description: "This book provides a comprehensive treatment of linear mixed models, a technique devised to analyze continuous correlated data. It focuses on examples from designed experiments and longitudinal studies. The target audience includes applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous.

Although most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated, considerable effort was spent in presenting the data analyses in a software-independent fashion."--BOOK JACKET.
Notes: Includes bibliographical references (p. [523]-553) and index.