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oapen-20.500.12657-412882020-08-14T01:17:40Z Methods for Analysing and Reporting EQ-5D Data Devlin, Nancy Parkin, David Janssen, Bas Biomedicine, general Public Health Quality of Life Research Biomedical Research EQ-5D Open Access patient reported outcomes (PROs) health related quality of life (HRQoL) quality of life QALYs Medical research Public health & preventive medicine Personal & public health bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques::MBGR Medical research bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine::MBNH Personal & public health This open access book is the first published guide about how to analyse data produced by the EQ-5D, one of the most widely used Patient Reported Outcomes questionnaires world wide. The authors provide practical, clear and comprehensive guidance in five concise chapters. Following an overview of the EQ-5D and its analysis, we describe how the questionnaire data – the EQ-5D profile and EQ VAS – can be analysed in different ways to generate important insights into peoples’ health. We then show how the value sets which accompany the EQ-5D can be applied to summarise patients’ data. The final chapter deals with advanced topics, including the use of Minimally Important Differences, case-mix adjustment, mapping, and more. This book is essential for those new to analyzing EQ-5D data and will be also be valuable for those with more experience. The methods can be applied to any EQ-5D instrument (for example, the three- and five-level and Youth versions) and many of the methods described will be equally relevant to other Patient Reported Outcomes instruments. ; This book provides the first guidance for users of the EQ-5D, a widely used measure of patient reported health around the world, on how to analyse data Provides detailed and comprehensive guidance on methods for analysing and reporting EQ-5D data The book is accompanied by code, in R, SPSS, STATA and SAS to allow users to implement the methods on their own data The book is accompanied by a slide deck, for use by instructors wishing to teach the methods 2020-08-13T11:53:53Z 2020-08-13T11:53:53Z 2020 book ONIX_20200813_9783030476229_30 https://library.oapen.org/handle/20.500.12657/41288 eng application/pdf n/a 2020_Book_MethodsForAnalysingAndReportin.pdf https://www.springer.com/9783030476229 Springer Nature Springer 10.1007/978-3-030-47622-9 10.1007/978-3-030-47622-9 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer 102 open access
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English
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This open access book is the first published guide about how to analyse data produced by the EQ-5D, one of the most widely used Patient Reported Outcomes questionnaires world wide. The authors provide practical, clear and comprehensive guidance in five concise chapters. Following an overview of the EQ-5D and its analysis, we describe how the questionnaire data – the EQ-5D profile and EQ VAS – can be analysed in different ways to generate important insights into peoples’ health. We then show how the value sets which accompany the EQ-5D can be applied to summarise patients’ data. The final chapter deals with advanced topics, including the use of Minimally Important Differences, case-mix adjustment, mapping, and more. This book is essential for those new to analyzing EQ-5D data and will be also be valuable for those with more experience. The methods can be applied to any EQ-5D instrument (for example, the three- and five-level and Youth versions) and many of the methods described will be equally relevant to other Patient Reported Outcomes instruments. ; This book provides the first guidance for users of the EQ-5D, a widely used measure of patient reported health around the world, on how to analyse data Provides detailed and comprehensive guidance on methods for analysing and reporting EQ-5D data The book is accompanied by code, in R, SPSS, STATA and SAS to allow users to implement the methods on their own data The book is accompanied by a slide deck, for use by instructors wishing to teach the methods
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2020_Book_MethodsForAnalysingAndReportin.pdf
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2020_Book_MethodsForAnalysingAndReportin.pdf
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title_short |
2020_Book_MethodsForAnalysingAndReportin.pdf
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title_full |
2020_Book_MethodsForAnalysingAndReportin.pdf
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title_fullStr |
2020_Book_MethodsForAnalysingAndReportin.pdf
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2020_Book_MethodsForAnalysingAndReportin.pdf
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2020_book_methodsforanalysingandreportin.pdf
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Springer Nature
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2020
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https://www.springer.com/9783030476229
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1771297502144757760
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