The assessment of patient reported outcomes and health-related quality of life continue to be rapidly evolving areas of research and this new edition reflects the development within the field from an emerging subject to one that is an essential part of the assessment of clinical trials and other clinical studies.
The analysis and interpretation of quality-of-life assessments relies on a variety of psychometric and statistical methods which are explained in this book in a non-technical way. The result is a practical guide that covers a wide range of methods and emphasizes the use of simple techniques that are illustrated with numerous examples, with extensive chapters covering qualitative and quantitative methods and the impact of guidelines. The material in this new third edition reflects current teaching methods and content widened to address continuing developments in item response theory, computer adaptive testing, analyses with missing data, analysis of ordinal data, systematic reviews and meta-analysis.
This book is aimed at everyone involved in quality-of-life research and is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and clinical practice.
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Peter Fayers, Emeritus Professor of Medical Statistics, University of Aberdeen, UK; Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
David Machin, Emeritus Professor of Clinical Trials Research, University of Sheffield, UK and Emeritus Professor of Clinical Statistics, University of Leicester.
The assessment of patient-reported outcomes and health-related quality of life continue to be rapidly evolving areas of research and this new edition reflects the development within the field from an emerging subject to one that is an essential part of the assessment of clinical trials and other clinical studies.
The analysis and interpretation of quality of life relies on a variety of psychometric and statistical methods which are explained in this book in a non-technical way. The result is a practical guide that covers a wide range of methods and emphasizes the use of simple techniques using numerous examples, with extensive chapters covering detailed qualitative methods, the impact of guidelines, the analysis of ordinal data and bootstrap methods. The material in this third edition reflects current teaching methods and content widened to address continuing developments in item response theory, computer adaptive testing, and analyses with missing data, Bayesian methods, systematic reviews and meta-analysis.
This book is aimed at everyone involved in quality of life research and is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and clinical practice.
The assessment of patient-reported outcomes and health-related quality of life continue to be rapidly evolving areas of research and this new edition reflects the development within the field from an emerging subject to one that is an essential part of the assessment of clinical trials and other clinical studies.
The analysis and interpretation of quality of life relies on a variety of psychometric and statistical methods which are explained in this book in a non-technical way. The result is a practical guide that covers a wide range of methods and emphasizes the use of simple techniques using numerous examples, with extensive chapters covering detailed qualitative methods, the impact of guidelines, the analysis of ordinal data and bootstrap methods. The material in this third edition reflects current teaching methods and content widened to address continuing developments in item response theory, computer adaptive testing, and analyses with missing data, Bayesian methods, systematic reviews and meta-analysis.
This book is aimed at everyone involved in quality of life research and is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and clinical practice.
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