A practical approach to quantitative validation of patient-reported outcomes : a simulation-based guide using SAS /
"This book provides a detailed description of the keys steps needed for quantitative validation of patient reported outcomes (PROs). It covers all major aspects of psychometric validation methodology on PROs, including exploratory and confirmatory factor analysis, test-retest reliability, longi...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2023.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "This book provides a detailed description of the keys steps needed for quantitative validation of patient reported outcomes (PROs). It covers all major aspects of psychometric validation methodology on PROs, including exploratory and confirmatory factor analysis, test-retest reliability, longitudinal analysis, and mediation models. Step-by-step guidance show the reader how to structure the data before PRO analysis, how to implement an analysis in a step-by-step fashion using simulated examples (emanating from published sources), how to delve deeply into concepts by modifying assumptions and parameters and how to prepare a PRO statistical analysis plan and publication. Guidance on the preparation of the Statistical Analysis Plan (SAP) for a quantitative validation of a PRO measure will also be included. In addition, the book will bolster an understanding and learning of quantitative validation methods via practical examples with simulated data and analytic implementations using SAS. The book will be of interest to statisticians and other researchers such as epidemiologists and those involved in outcomes research in the health-care industry, government, and academia"-- |
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| Physical Description: | 1 online resource (xv, 346 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119376309 1119376300 9781119376316 1119376319 9781119376354 1119376351 |