Linear Mixed Models for Longitudinal Data by Geert Molenberghs, Geert Verbeke

Linear Mixed Models for Longitudinal Data



Download Linear Mixed Models for Longitudinal Data




Linear Mixed Models for Longitudinal Data Geert Molenberghs, Geert Verbeke
Language: English
Page: 579
Format: pdf
ISBN: 0387950273, 9780387950273
Publisher: Springer

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. Several variations to the conventional linear mixed model are discussed (a heterogeity model, condional linear mid models).

This book will be of interest to applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous. Most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated. However, some other commercially available packages are discussed as well. Great care has been taken in presenting the data analyses in a software-independent fashion.

Geert Verbeke is Assistant Professor at the Biostistical Centre of the Katholieke Universiteit Leuven in Belgium. He received the B.S. degree in mathematics (1989) from the Katholieke Universiteit Leuven, the M.S. in biostatistics (1992) from the Limburgs Universitair Centrum, and earned a Ph.D. in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verbeke wrote his dissertation, as well as a number of methodological articles, on various aspects of linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Research Center and the Johns Hopkins University.

Geert Molenberghs is Assistant Professor of Biostatistics at the Limburgs Universitair Centrum in Belgium. He received the B.S. degree in mathematics (1988) and a Ph.D. in biostatistics (1993) from the Universiteit Antwerpen. Dr. Molenberghs published methodological work on the analysis of non-response in clinical and epidemiological studies. He serves as an associate editor for Biometrics, Applied Statistics, and Biostatistics, and is an officer of the Belgian Statistical Society. He has held visiting positions at the Harvard School of Public Health.

MORE EBOOKS:
Artificial Intelligence: A Modern Approach (3rd Edition) ebook download
Pulmonary Respiratory Therapy Secrets read
Download ebook: HTML 4 For Dummies, 5th Edition
Download ebook: WP205 - Bastien Piano Basics Theory Primer
Illustrated C# 2010 (Expert's Voice in .NET) download pdf







Tags: Linear Mixed Models for Longitudinal Data ebook pdf djvu epub
Linear Mixed Models for Longitudinal Data download pdf epub djvu
Download Linear Mixed Models for Longitudinal Data free ebook pdf
Read Linear Mixed Models for Longitudinal Data online book
Linear Mixed Models for Longitudinal Data cheap ebook for kindle and nook
Linear Mixed Models for Longitudinal Data download book
Geert Molenberghs, Geert Verbeke ebooks
Linear Mixed Models for Longitudinal Data download pdf rapidshare mediafire fileserve 4shared torrent