Applied Mixed Models in Medicine
Applied Mixed Models in Medicine Books
Product Description
Provides a clear understanding of the application of mixed models, and describes the benefits to be gained from their use as well as the matter-of-fact implications. Mixed models is apt a well loved method of statistical analysis used for analysing medical data, particularly in the pharmaceutical industry. This method often gives improvements over conventional flat effect models, especially when data are unbalanced. Presently there is no other book covering the application of mixed models to clinical data, making this book essential reading for those caught up in this theme.
Features include:
* Takes a balanced view of mixed models by discussing some of the problems in their use and indicates where more conventional flat effect models might be preferred.
* Easily accessible to practitioners in any areas where mixed models are used, including medical statisticians and economists
* Illustrated with numerous medical examples which clearly exhibit the application of the theory
* Extensive coverage of the underlying theory
* Devotes a complete chapter to the use of software procedures and macros to fit mixed models.
This title is aimed at medical, applied and bio-statisticians, by the side of with teachers and students of advanced statistics courses in mixed models. The book is also apposite for medical scientists who need to know the techniques used and the assumuptions which underpin their use.
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