Applied Mixed Models in Medicine by Helen Brown: New

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Book Title
Applied Mixed Models in Medicine
Publication Date
2015-02-09
Edition Number
3
Pages
544
ISBN
9781118778258
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118778251
ISBN-13
9781118778258
eBay Product ID (ePID)
201609420

Product Key Features

Number of Pages
544 Pages
Publication Name
Applied Mixed Models in Medicine
Language
English
Subject
Biostatistics, General
Publication Year
2015
Type
Textbook
Author
Robin Prescott, Helen Brown
Subject Area
Medical
Series
Statistics in Practice Ser.
Format
Hardcover

Dimensions

Item Height
1.7 in
Item Weight
37.7 Oz
Item Length
9.1 in
Item Width
6.3 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
LCCN
2014-026811
Illustrated
Yes
Synopsis
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 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., 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. 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. 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, available at www.wiley.com/go/brown/applied-mixed
LC Classification Number
R853.S7

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