
| Judul | Methods for Analysing and Reporting EQ-5D Data / Nancy Devlin; David Parkin; Bas Janssen |
| Pengarang | Devlin, Nancy Parkin, David Janssen, Bas |
| EDISI | - |
| Penerbitan | Switzerland : Springer, 2020 |
| Deskripsi Fisik | 114p. :ill. |
| ISBN | 978-3-030-47622-9 |
| Subjek | BIOMEDICAL RESEARCH DATA ANALYSIS |
| Catatan | 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 othe |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://library.oapen.org/handle/20.500.12657/41288 https://oer.unair.ac.id/files/original/ed80b9640a7a0419ffcb7c353ecefb78.pdf |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 291225192 | 616 Dev m | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 001 | INLIS000000000161348 | ||
| 005 | 20250505023915 | ||
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| 020 | # | # | $a 978-3-030-47622-9 |
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| 082 | # | # | $a 616 |
| 084 | # | # | $a 616 Dev m |
| 100 | 1 | # | $a Devlin, Nancy |
| 245 | 1 | # | $a Methods for Analysing and Reporting EQ-5D Data /$c Nancy Devlin; David Parkin; Bas Janssen |
| 250 | # | # | $a - |
| 260 | # | # | $a Switzerland :$b Springer,$c 2020 |
| 300 | # | # | $a 114p. : $b ill. |
| 505 | # | # | $a 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 |
| 650 | # | # | $a BIOMEDICAL RESEARCH |
| 650 | # | # | $a DATA ANALYSIS |
| 700 | 1 | # | $a Janssen, Bas |
| 700 | 1 | # | $a Parkin, David |
| 856 | # | # | $a https://library.oapen.org/handle/20.500.12657/41288 |
| 856 | # | # | $a https://oer.unair.ac.id/files/original/ed80b9640a7a0419ffcb7c353ecefb78.pdf |
| 990 | # | # | $a 291225192 |
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