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Applied Mixed Models in Medicine
Helen Brown
€ 137.72
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Description for Applied Mixed Models in Medicine
Hardcover. 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. Series: Statistics in Practice. Num Pages: 476 pages, Illustrations. BIC Classification: MBGR. Category: (P) Professional & Vocational. Dimension: 236 x 156 x 35. Weight in Grams: 888.
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.
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, ... Read more
- 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.
Show LessProduct Details
Format
Hardback
Publication date
2006
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
476
Condition
New
Series
Statistics in Practice
Number of Pages
480
Place of Publication
New York, United States
ISBN
9780470023563
SKU
V9780470023563
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Helen Brown
Helen Brown, Principal Statistician, NHS Scotland, Edinburgh, UK Robin Prescott, Medical Statistics Unit, University of Edinburgh Medical School, UK
Reviews for Applied Mixed Models in Medicine
"…a valuable mixed model resource for most applied statisticians working in the medical environment." (Biometrics, June 2007) "…useful for practitioners and applied statisticians working in medical science." (Journal of the American Statistical Association, September 2007) "…takes a practical rather than theoretical approach and requires understanding of only basic statistics." (MAA Reviews, October 30, 2006) “This ... Read more