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Brown, Helen

Applied Mixed Models in Medicine

Brown, Helen - Applied Mixed Models in Medicine, ebook

93,50€

Ebook, ePUB with Adobe DRM
ISBN: 9781118778241
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A fully updated edition of this key text on mixed models, focusing on applications in medical research

 

The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This third edition of Brown and Prescott’s groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a 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 incomplete block designs and the analysis of bilateral 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 the new version of SAS, including new graphics for model diagnostics and the procedure PROC MCMC.
  • Supported by a website featuring computer code, data sets, and further material.

 

This third edition will appeal to applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The book will also be of great value to a broad range of scientists, particularly those working in the medical and pharmaceutical areas.

Keywords: Biostatistics, Mixed Models, Medicine, Biostatistics, statistical analysis

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
3
Series
Statistics in Practice
Page amount
536 pages
Category
Medicine, Health Care, Mode
Format
Ebook
eISBN (ePUB)
9781118778241
Printed ISBN
9781118778258

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