Introduction. Development of a Patient-Reported Outcome. Validity. Reliability. Exploratory and Confirmatory Factor Analyses. Item Response Theory. Cross-Sectional Analysis. Longitudinal Analysis. Mediation Models. Missing Data. Enriching Interpretation. Index.
"The book is clearly set-out and easy to follow and each chapter
ends with a summary and detailed list of references. … an excellent
general text covering the whole spectrum of working with PROs from
design of measures through to the analysis of PRO data."
—ISCB News, 59, June 2015"The book is well written and well
organized. Good examples contribute to a better understanding of
statistics. The focus is quantitative and includes psychometric and
statistical methods relevant to the vast majority of
patient-reported outcome measures, those based on multi questions
scales or summed assessment scales. The content is also relevant
for individualized and preference-based instruments. ... The book
is recommended for health care professionals and health researchers
who wish to further their understanding of psychometric and
statistical methods necessary for the development, testing and use
of patient-reported outcome measures."
—A Garratt, Journal of the Norwegian Medical Association, April
2015"This book includes 11 chapters on 330 pages. The first six
chapters cover topics in psychometrics, and the remaining five
cover topics in statistics. ... the book is a quick, easy, and
understandable introduction to qualitative and quantitative
psychometric methods for the inexperienced reader."
—John Brodersen, Statistics in Medicine, 2015"The recent book,
Patient-Reported Outcomes, Measurement, Implementation and
Interpretation, by Cappelleri and his colleagues is a timely
synthesis of the current thinking and practice of psychometrics
applied to patient reported outcomes (PROs), and PRO data analysis.
Written primarily by statisticians drawn from the same large
multinational pharmaceutical company, the book is squarely aimed at
health economists, outcomes researchers and statisticians in the
industry who may require a foundation in psychometrics and the
analysis of PRO data. That said it may also be of benefit and
utility to advanced researchers in academia and consultancy wanting
to increase their knowledge in this field. ... In summary, this
book attempts to cover a lot of complex material and does so
successfully. It effectively teaches core concepts related to the
measurement, analysis and interpretation of PROs. There is
something for readers of all levels of familiarity with PROs, from
the novice to the more experienced researcher."
—Qual Life Res, 2014"This is a timely publication that provides
comprehensive information on an important subject. … there are many
who can benefit from reading this book, including health care
professionals, health services researchers, policy makers,
regulators, patients, caregivers, and other health-related
stakeholders. … This book includes many excellent simulated and
real-life examples. … For many practitioners, the sample codes
provided in the book provide an excellent template for them to
carry out their own analyses. This book is well organized and
clearly written. Accessible language and articulate writing make
this a very readable book. Ample examples with step-by-step
illustrations of the analysis of data and interpretation of the
results will be particularly helpful to readers who are new to
PROs. It can also serve as a valuable reference for those who have
experience working with PROs."
—Journal of Biopharmaceutical Statistics, 2014"… a clear and
thorough presentation of key topics for understanding the
development, validation, and scoring of patient-reported outcome
(PRO) measures and for conducting the analysis of PRO data to
explore drug effects and describe treatment benefits. … very
readable. The text successfully integrates commonly used
statistical methods such as reliability measures, longitudinal
models, and missing data analysis into the context of PROs and
highlights relevant issues. The authors’ expertise and knowledge of
the field of PROs is evident in the presentation of each method … a
very valuable and lasting contribution to the field of PROs. I
highly recommend it as an introduction and guide to the analysis of
PRO data because of its clarity, focus, and comprehensiveness."
—Clinical Trials, Vol. 11, 2014
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