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Zusatztext This book represents a comprehensive overview of the field with contributions from 31 authors, in a collection of 24 chapters. The objective of this book is to provide a thorough review of the current state of the art methodology. The objective is whole-heartedly achieved through its six sections. Klappentext Researchers in all clinical fields are fully aware of the importance of Quality of Life measurements in judging the efficacy of a given treatment. Psychological criteria play an important role in this evaluation. Assessment of Quality of Life in Clinical Trials: methods and practice explores the current state of the art and illustrates the benefits and potential of health related quality of life assessment in clinical trials. It covers a wide range of analytical issues, emphasizing new and innovative approaches that are of practical and clinical importance. Explores the current state-of-the-art in quality of life assessment Zusammenfassung Explores and illustrates the benefits and potential of health related quality of life assessment in clinical trials. This title covers a range of analytical issues, emphasizing innovative approaches that are of practical and clinical importance. It is suitable for clinical trialists and researchers from a range of specialties. Inhaltsverzeichnis Preface 1. Developing and evaluating questionnaires 1.1: Ron Hays: Generic versus disease-targeted instruments 1.2: Elaine McColl: Developing questionnaires 1.3: Ron Hays and Dennis Revicki: Reliability and validity, including responsiveness 1.4: Ron Hays and Peter Fayers: Evaluating multi-item scales 1.5: Bryce Reeve and Peter Fayers: Rasch models and IRT 2. Adapting and using questionnaires 2.1: Patrick Marquis: Translating and evaluating questionnaires - cultural issues 2.2: Jakob Bjorner and John Ware: CAT and item banking 2.3: David Cella: Developing a questionnaire using IRT - a case study of fatigue 2.4: Elaine McColl and Peter Fayers: Proxy assessments and context effects 3. Analysis 3.1: Diane Fairclough: Analysing longitudinal studies of QOL 3.2: Dennis Revicki and Diane Fairclough: Preventing missing data 3.3: Diane Fairclough: Analysing studies with missing data 3.4: Mogens Groenvold and Morten Petersen: Differential item functioning (DIF) for analysing cultural differences 3.5: Dennis Revicki: Reporting analyses from clinical trials 4. Interpreting QoL in individuals and groups 4.1: Ciaran O'Boyle, Stefan Höfer and Lena Ring: Individualised QoL 4.2: David Osoba and Madeleine King: Meaningful differences 4.3: David Osoba: Health-related QoL outcomes in clinical trials 4.4: Carolyn Schwartz, Mirjam Sprangers and Peter Fayers: Response shift 4.5: Galina Velikova and Penny Wright: Individual patient monitoring 5. Measures for clinical trials 5.1: Jakob Bjorner, Peter Fayers and Ellen Idler: Self-rated health 5.2: Stephen Coons and Jim Shaw: Generic adult health status measures 5.3: Jeanne Landgraf: Measurement of HRQL in child/adolescent clinical trials 5.4: Barbara Vickrey: Developing disease-targeted measures for neurolgic conditions 6. Beyond clinical trials 6.1: Paul Kind: Values and valuation 6.2: David Feeny: Preference-based measures 6.3: Mandy Ryan and Karen Gerard: Discrete choice experiments 6.4: Peter Fayers and Neil Scott: Combining clinical trials - meta analysis ...
