Linear Mixed Models for Longitudinal Data Springer Series in Statistics

By Geert Molenberghs, Geert Verbeke

Models for Discrete Longitudinal Data Springer Series in Statistics

By Geert Verbeke, Geert Molenberghs

The Evaluation of Surrogate Endpoints

By Tomasz Burzykowski, Geert Molenberghs, Marc Buyse

Linear Mixed Models for Longitudinal Data

By Geert Verbeke, Geert Molenberghs

The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, t...

Linear Mixed Models in Practice: A SAS-Oriented Approach

By Geert Verbeke, Geert Molenberghs

"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 st...

Missing Data in Clinical Studies Statistics in Practice

By Michael Kenward, Geert Molenberghs

Advances in Statistical Methods for the Health Sciences

By

Linear Mixed Models for Longitudinal Data

By Geert Verbeke

Past present and future of statistical science

By Xihong Lin

"Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Ye...

Longitudinal Data Analysis

By

This book is about modern methods for longitudinal data analysis. Each chapter integrates and illustrates important research threads in the statistical literature. It is a good book for graduate-le...