Applied Mixed Models in Medicine

Rapidly gaining in popularity, mixed models is a method of the statistical analysis used for analyzing multistratified data. When the data involved is unbalanced, mixed models are considered superior analytical tools over conventional fixed effect models. Applied Mixed Models in Medicine offers a balanced, comprehensive look at mixed models, discussing some of the problems in their use, and indicating where more conventional fixed effect models might be preferred. The book devotes an entire chapter to the use of SAS software procedures and macros to fit mixed models. Examples are used extensively throughout the text.