Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation A Practical Guide to Analysis and Interpretation
Aus der Reihe
Statistics in Practice
77,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
10.09.2009
Verlag
John Wiley & SonsSeitenzahl
380 (Printausgabe)
Dateigröße
3116 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470871911
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.
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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