Author: Helen Brown
Edition: 2
Publisher: Wiley
Binding: Hardcover
ISBN: 0470023562
Applied Mixed Models in Medicine (Statistics in Practice)
A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. Medical books Applied Mixed Models in Medicine . 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 Medical books Applied Mixed Models In Medicine - Brown, Helen/ Prescott, Robin. Electronics Cameras Computers Software Housewares Sports DVDs Music Books Games Toys in titles descriptions Company Info |Checkout Info |Shipping Info |Return Policy |FAQ's Add us as a favorite seller By continuing with your purchase using the eBay Buy It Now button, you agree to the Buy Terms of Use at http://stores.ebay.com/Buys-Internet-Superstore/Terms.html . Applied Mixed Models in Medicine - Brown, Helen/ Prescott, Robin THIS IS A BRAND NEW UNOPENED ITEM. Buy SKU: 202505553 If you want ad
Download link for Applied Mixed Models in Medicine (Statistics in Practice)
Electronics Cameras Computers Software Housewares Sports DVDs Music Books Games Toys in titles descriptions Company Info |Checkout Info |Shipping Info |Return Policy |FAQ's Add us as a favorite seller By continuing with your purchase using the eBay Buy It Now button, you agree to the Buy Terms of Use at http://stores.ebay.com/Buys-Internet-Superstore/Terms.html . Applied Mixed Models in Medicine - Brown, Helen/ Prescott, Robin THIS IS A BRAND NEW UNOPENED ITEM. Buy SKU: 202505553 If you want ad
Applied Mixed Models in Medicine in Medicine, ISBN-13: 9780470023563, ISBN-10: 0470023562
author helen brown author robin prescott format hardback language english publication year 07 04 2006 series statistics in practice subject medicine subject 2 medical nursing ancillary services title applied mixed models in medicine in medicine author helen brown robin prescott publisher john wiley sons inc publication date jun 05 2006 pages 455 binding hardcover edition 2 nd dimensions 6 00 wx 9 25 hx 1 25 d isbn 0470023562 subject medical biostatistics brand new hardcover all orders get full
Wiley. Hardcover. 0470023562 Hardcover; 2nd Edition; 2006 Wiley; 476 pages; "Applied Mixed Models in Medicine Statistics in Practice" by Helen Brown et al. . Very Good.
Medical Book Applied Mixed Models in Medicine
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.
