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Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to analysis and interpretation (Statistics in Practice #84)
By: Stephen J. WalterseBook Publisher: John Wiley & Sons
Imprint: John Wiley & Sons, Ltd.
Format: Adobe Encrypted (DRM)
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An essential, up-to-date guide to the design of studies and selection of the correct QoL instruments for observational studies and clinical trials.
Quality of Life (QoL) outcomes or Person/Patient Reported Outcome Measures (PROMs) are now frequently being used in randomised controlled trials (RCTs) and observational studies. This book provides a practical guide to the design, analysis and interpretation of studies that use such outcomes.
QoL outcomes tend to generate data with discrete, bounded and skewed distributions. Many investigators are concerned about the appropriateness of using standard statistical methods to analyse QoL data and want guidance on what methods to use. QoL outcomes are frequently used in cross-sectional surveys and non-randomised health-care evaluations.
Provides a user-friendly guide to the design and analysis of clinical trials and observational studies in relation to QoL outcomes. Discusses the problems caused by QoL outcomes and presents intervention options to help tackle them. Guides the reader step-by-step through the selection of appropriate QoLs. Features exercises and solutions and a supporting website providing downloadable data files.
Illustrated throughout with examples and case studies drawn from the author’s experience, this book offers statisticians and clinicians guidance on choosing between the numerous available QoL instruments.
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| Title of eBook: Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to analysis and interpretation (Statistics in Practice #84) | |
| Release Date: 09-10-2009 | |
| Publisher: John Wiley & Sons, Ltd. |
This eBook download is available in the following formats:
| Parent title | Quality of Life Outcomes in Clinical... |
|---|---|
| Encrypted (DRM) | Yes |
| SKU | 9780470871911 |
| File size | 3116 |
| Security | n/a |
| Printing | Not allowed |
| Copying | Not allowed |
| Read aloud | No Sys requirements Download reader |
| Devices | Samsung Tablet, Apple Ipad & Iphone, Barnes & Noble Nook, Kobo eReader, Aluratek Libre, Iliad, Nokia, Blackberry, Hanlin |
| Note | Excellent navigation features are available via Adobe such as bookmarks and a quick access table of contents. Text search is easily accessible. An Adobe DRM-protected file is different than a pdf file in that it uses Adobe DRM (Digital Rights Management) technology, which authors and publishers use to protect their content from illegal online distribution and to set certain privileges such as restrictions on copying and printing. |
Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to analysis and interpretation (Statistics in Practice #84)
Chapter One
Introduction
Summary
Quality of life (QoL) is a complex concept with multiple dimensions. This book will assume a wide definition for this concept. It will describe the design, assessment, analysis and interpretation of single- and multi-item, subjective measurement scales. These measurement scales all have the common feature of using a standardized approach to assessing a person's perception of their own health by using numerical scoring systems, and may include one or several dimensions of QoL. This chapter will provide a brief history of QoL assessment; describe the different types of QoL assessment tools available and give reasons why it is important to measure QoL.
1.1 What is quality of life?
Quality of life (QoL) is a complex concept with multiple aspects. These aspects (usually referred to as domains or dimensions) can include: cognitive functioning; emotional functioning; psychological well-being; general health; physical functioning; physical symptoms and toxicity; role functioning; sexual functioning; social well-being and functioning; and spiritual/existential issues (see Figure 1.1). This book will assume a wide definition for this concept. It will describe the design, assessment, analysis and interpretation of single- and multi-item, subjective measurement scales. This broad definition will include scales or instruments that ask general questions, such as `In general, how would you rate your health now?', and more specific questions on particular symptoms and side effects, such as 'During the past week have you felt nauseated?'. These measurement scales all have the common feature of using a stand
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