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"Measurement of quality of life has grown to become a standard endpoint in many randomised controlled trials..." ("Short Book Reviews", Vol. 20, No. 3, December 2000)."..well written and easy to understand..." ("The Lancet Oncology", November 2000) "I would recommend this book..." ("Progress in Palliative Care", Vol 8/5, 2000) "this book is highly recommended to clinicians who are actively involved in the planning, analysis and publication of QoL research..." ("Clinical Oncology", Vol. 12/6, 2000) "A useful book for many professions who wish to know whether their patients are well and whether certain therapies are needed and useful..." ("Journal of Paediatric Endocrinology Metabolism", Vol. 13/9, 2000 "I would recommend this book for library purchase" (The Statistician, Vol. 5, 2001) ."..this book is highly recommended..." (Quality of Life Research, No.11, 2002Reseña del editor:
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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