Quality of Life: The Assessment, Analysis and Interpretation of Patient-reported Outcomes

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John Wiley & Sons, May 23, 2013 - Medical - 568 pages
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Quality of life studies form an essential part of the evaluation ofany treatment. Written by two authors who are well respected withinthis field, Quality of Life: The Assessment, Analysis andInterpretation of Patient-reported Outcomes, Second Editionlays down guidelines on assessing, analysing and interpretingquality of life data. The new edition of this standard book hasbeen completely revised, updated and expanded to reflect manymethodological developments emerged since the publication ofthe first edition.
  • Covers the design of instruments, the practical aspects ofimplementing assessment, the analyses of the data, and theinterpretation of the results
  • Presents all essential information on Quality of Life Researchin one comprehensive volume
  • Explains the use of qualitative and quantitative methods,including the application of basic statistical methods
  • Includes copious practical examples
  • Fills a need in a rapidly growing area of interest
  • New edition accommodates significant methodologicaldevelopments, and includes chapters on computer adaptive testingand item banking, choosing an instrument, systematic reviews andmeta analysis

This book is of interest for everyone involved in quality oflife research, and it is applicable to medical andnon-medical, statistical and non-statistical readers. It is ofparticular relevance for clinical and biomedical researchers withinboth the pharmaceutical industry and practitioners in the fields ofcancer and other chronic diseases.

Reviews of the First Edition – Winner of the firstprize in the Basis of Medicine Category of the BMA Medical BookCompetition 2001:

“This book is highly recommended to clinicians who areactively involved in the planning, analysis and publication of QoLresearch.” CLINICAL ONCOLOGY

“This book is highly recommendedreading.”  QUALITY OF LIFE RESEARCH

 

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Contents

Introduction
1
Principles of measurement scales
Developing a questionnaire
validity reliability sensitivity
Multiitem scales
Factor analysis and structural equation modelling
Item response theory and differential item functioning
Item banks item linking and computeradaptive tests
Modelling longitudinal data
Missing data
Practical and reporting issues
ualit adusted survival
Clinical interpretation
Metaanalysis
Generic instruments
Diseasespecific instruments

Choosing and scoring questionnaires
Clinical trials
Sample sizes
Crosssectional analysis
Exploring longitudinal data
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ADL and disability
References
Copyright

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About the author (2013)

Peter Fayers, University of Aberdeen Medical School, UK, Norwegian University of Science and Technology (NTNU), Tronheim, Norway

David Machin, Division of Clinical Trials and Epidemiological Sciences, National Cancer Center, Singapore, School of Health and Related Research, University of Sheffield, England United Kingdom Children’s Cancer Study Group (UKCCSG), University of Leicester,UK

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