Summary

Balancing theory and practice to present a wholly unbiased view of mixed model methodology; this authoritative book can be used with a variety of applications, including medicine, biostatistics and agriculture. The authors, all highly regarded researchers in the field, demonstrate the strength of the mixed model approach through numerous examples using S-PLUS and other important computer packages. Integration of theory with practical instruction, real data sets from wide-ranging applications and computer codes available on the book's related website, make this an indispensable guide for researchers and practitioners interested in using linear mixed models.