| Applied Mixed Models in Medicine 2e Contributor(s): Brown (Author), Prescott (Author) |
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ISBN: 0470023562 ISBN-13: 9780470023563 Publisher: John Wiley & Sons OUR PRICE: $133.90 Product Type: Hardcover - Other Formats Published: June 2006 Annotation: A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This new edition of a groundbreaking text discusses the latest developments, from updated SAS techniques to the increasingly wide range of applications. Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on bioequivalence, cluster randomised trials and missing data. Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists. Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output. Features new version of SAS, including the procedure PROC GLIMMIX and an introduction to other available software. Supported by a website featuring computer code, data sets, and further material, available at: http: //www.chs.med.ed.ac.uk/phs/mixed/. This much-anticipated second edition is ideal 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 will also be of great value to a broad range of scientists, particularly those working the medical and pharmaceutical areas. |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Medical | Research |
| Dewey: 610.727 |
| LCCN: 2005036661 |
| Series: Statistics in Practice |
| Physical Information: 1.23" H x 6.45" W x 9.19" (1.74 lbs) 480 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Since the publication of the first edition the topic of mixed modelling has seen many developments, particularly regarding software and applications. There are now many more software options for applying mixed model methodology, and SAS has been updated to include powerful new techniques. Applications of mixed models have increased, notably in the areas of health research and epidemiology. This new edition presents: Presents an overview of the theory of mixed models applied to problems in medical research Fully updated to include up-to-date references and developments. |