Statistics in Practice Ser.: Applied Mixed Models in Medicine by Robin Prescott and Helen Brown (2015, Hardcover)

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Product Identifiers

PublisherWiley & Sons, Incorporated, John
ISBN-101118778251
ISBN-139781118778258
eBay Product ID (ePID)201609420

Product Key Features

Number of Pages544 Pages
Publication NameApplied Mixed Models in Medicine
LanguageEnglish
SubjectBiostatistics, General
Publication Year2015
TypeTextbook
AuthorRobin Prescott, Helen Brown
Subject AreaMedical
SeriesStatistics in Practice Ser.
FormatHardcover

Dimensions

Item Height1.7 in
Item Weight37.7 Oz
Item Length9.1 in
Item Width6.3 in

Additional Product Features

Edition Number3
Intended AudienceScholarly & Professional
LCCN2014-026811
IllustratedYes
SynopsisA 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 NumberR853.S7

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