This book investigates the application of mixed models in medical research, providing a theoretical overview accessible to practitioners across various fields. The author, Helen Brown, draws upon her expertise to present numerous examples using real data from medical, health research, and epidemiology. The text is illustrated with SAS code and output, including the procedure PROC GLIMMIX and an introduction to other available software, making it a practical guide for applied statisticians and scientists in the medical and pharmaceutical sectors.

This second edition is designed to be useful for applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The text is also valuable for a broad range of scientists, particularly those in the medical and pharmaceutical areas. The inclusion of real data examples and SAS code aims to provide practical utility for readers. The book's focus on accessibility suggests it is intended for those who need to apply mixed models without necessarily being deep theoretical experts.