Linear Mixed Models in Practice

This is author-approved bcc: 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 mathematical 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. Geert Verbeke is Assistant Professor at the Biostatistical Centre for Clinical Trials 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 PhD in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verkeke wrote his dissertation, as well as a number of methodological articles, on various aspects on linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Researh Center and the Johns Hopkins University (Baltimore, MD). 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 PhD in biostatistics (1993) from the Universiteit Antwerpen. Dr. Molenberghs published methodological work on the analysis of non-response, and non-compliance in clinical trials. He serves as an associate editor for Biometrics and Applied