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Applied Mixed Models in Medicine Hardcover – May 18 2006


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Product Details

  • Hardcover: 478 pages
  • Publisher: Wiley; 2 edition (May 18 2006)
  • Language: English
  • ISBN-10: 0470023562
  • ISBN-13: 978-0470023563
  • Product Dimensions: 16.3 x 3.1 x 23.4 cm
  • Shipping Weight: 862 g
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: #1,303,420 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

Review

"…a valuable mixed model resource for most appliedstatisticians working in the medical environment."(Biometrics, June 2007)

"…useful for practitioners and applied statisticiansworking in medical science." (Journal of the AmericanStatistical Association, September 2007)

"…takes a practical rather than theoretical approach andrequires understanding of only basic statistics." (MAAReviews, October 30, 2006)

“This second edition gives an overview of the theory ofmixed models and its application to real data in medicalresearch.” (Zentralblatt MATH, April 2007)

From the Back Cover

A mixed model allows the incorporation of both fixed and randomvariables within a statistical analysis. This enables efficientinferences and more information to be gained from the data. Theapplication of mixed models is an increasingly popular way ofanalysing medical data, particularly in the pharmaceuticalindustry. There have been many recent advances in mixed modelling,particularly regarding the software and applications. This newedition of a groundbreaking text discusses the latest developments,from updated SAS techniques to the increasingly wide range ofapplications.
  • Presents an overview of the theory and applications of mixedmodels in medical research, including the latest developments andnew sections on bioequivalence, cluster randomised trials andmissing data.
  • Easily accessible to practitioners in any area where mixedmodels are used, including medical statisticians andeconomists.
  • Includes numerous examples using real data from medical andhealth research, and epidemiology, illustrated with SAS code andoutput.
  • Features new version of SAS, including the procedure PROCGLIMMIX and an introduction to other available software.
  • Supported by a website featuring computer code, data sets, andfurther material, available at:http://www.chs.med.ed.ac.uk/phs/mixed/.

This much-anticipated second edition is ideal for appliedstatisticians working in medical research and the pharmaceuticalindustry, as well as teachers and students of statistics courses inmixed models. The text will also be of great value to a broad rangeof scientists, particularly those working the medical andpharmaceutical areas.


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Most helpful customer reviews

1 of 1 people found the following review helpful By xlsyu on April 21 2004
Format: Hardcover
One of my collegues recommended this book to me. It surprised me that it has a very broader coverage of topics in medicine where mixed model is appropriate. This book talked many pratical issues such as "why the mixed model failed to converge" etc. The mathematical background is not demanding.
Another advantage of this book is that there are so many examples in the book.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 2 reviews
10 of 11 people found the following review helpful
exccellent book, wish the price is cheaper April 21 2004
By xlsyu - Published on Amazon.com
Format: Hardcover
One of my collegues recommended this book to me. It surprised me that it has a very broader coverage of topics in medicine where mixed model is appropriate. This book talked many pratical issues such as "why the mixed model failed to converge" etc. The mathematical background is not demanding.
Another advantage of this book is that there are so many examples in the book.
Four Stars Oct. 15 2014
By Leo Sekine - Published on Amazon.com
Format: Hardcover Verified Purchase
A thorough and comprehensive book, ideal for researches in biological area.


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