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Design and Analysis of Quality of Life Studies in Clinical Trials de Diane L. Fairclough

Design and Analysis of Quality of Life Studies in Clinical Trials: Chapman & Hall/CRC Interdisciplinary Statistics

Autor Diane L. Fairclough
en Limba Engleză Hardback – 7 ian 2010
Design Principles and Analysis Techniques for HRQoL Clinical Trials
SAS, R, and SPSS examples realistically show how to implement methods
Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical methods, such as mixed effect models, to their own studies. The author illustrates the implementation of the methods using the statistical software packages SAS, SPSS, and R.
New to the Second Edition
  • Data sets available for download online, allowing readers to replicate the analyses presented in the text
  • New chapter on testing models that involve moderation and mediation
  • Revised discussions of multiple comparisons procedures that focus on the integration of health-related quality of life (HRQoL) outcomes with other study outcomes using gatekeeper strategies
  • Recent methodological developments for the analysis of trials with missing data
  • New chapter on quality adjusted life-years (QALYs) and QTWiST specific to clinical trials
  • Additional examples of the implementation of basic models and other selected applications in R and SPSS
This edition continues to provide practical information for researchers directly involved in the design and analysis of HRQoL studies as well as for those who evaluate the design and interpret the results of HRQoL research. By following the examples in the book, readers will be able to apply the steps to their own trials.
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Specificații

ISBN-13: 9781420061178
ISBN-10: 1420061178
Pagini: 424
Ilustrații: 69 black & white illustrations, 87 black & white tables
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.75 kg
Ediția:Revizuită
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Interdisciplinary Statistics

Public țintă

Professional and Professional Practice & Development

Cuprins

Introduction and Examples. Study Design and Protocol Development. Models for Longitudinal Studies I. Models for Longitudinal Studies II. Moderation and Mediation. Characterization of Missing Data. Analysis of Studies with Missing Data. Simple Imputation. Multiple Imputation. Pattern Mixture and Other Mixture Models. Random Effects Dependent Dropout. Selection Models. Multiple Endpoints. Composite Endpoints and Summary Measures. Quality Adjusted Life-Years (QALYs) and Q-TWiST. Analysis Plans and Reporting Results. Appendices. References.

Notă biografică

Diane L. Fairclough is a professor in the Department of Biostatistics and Informatics in the Colorado School of Public Health and director of the Biostatistics Core of the Colorado Health Outcomes Program at the University of Colorado in Denver. She is also President of the International Society for Quality of Life Research. Dr. Fairclough’s prior appointments include St. Jude Children’s Research Hospital, Harvard School of Public Health, and AMC Cancer Research Center.

Recenzii

The book is written for a wide range of researchers interested in HRQoL research, including clinicians, epidemiologists, psychologists and statisticians. … the author did her best to make the material accessible to a larger audience through the chapter structure, the datasets, the software code and programs available from the author’s website. She should be commended for her efforts and improvements since the first edition. Every researcher involved in the design and analysis of HRQoL studies will benefit from having this book on their shelf.
—Stephane Heritier, Australian & New Zealand Journal of Statistics, 2013
I found that the use of well-placed comment statements and titles, as well as additional coding [on the author’s website], enhanced my understanding considerably.
—Cynthia A. Rodenberg, Journal of Biopharmaceutical Statistics, 21, 2011
It is a well-organized and nicely written book, which should be quite useful for researchers involved in HRQoL studies. … it may serve as a textbook for a graduate-level course in applied statistics focused on clinical epidemiology and health services research. … Another bonus for students and instructors refer to the example programs in SAS, SPSS and R provided in the book, in addition to full data sets available for download online, which was not offered with the first edition.
—Biometrics, 67, September 2011
Professor Fairclough has succeeded in writing a book which can be used by trial statisticians for the valid analysis of quality of life data. It is a remarkable combination of theory and practical advice. … The second edition … [includes] examples in R and SPSS as well as SAS, and gives links to download all the data and much of the code in the book. … excellent book. All in all, this is a useful resource for statisticians working in the areas of quality of life, clinical trials, and/or missing data.
—ISCB News, No. 51, June 2011
… this book offers unique perspectives and insights that reflect decades of hands-on experience with HRQoL trials and that will certainly benefit researchers in this area. … Written clearly and concisely, the book is a pleasure to read. The technical level is reasonable for statistical practitioners and medical researchers with a good understanding of basic statistical concepts and methods. I would definitely recommend the book to researchers in HRQoL studies, and I think it is worth reading by anyone interested in clinical trials, because many of the issues discussed extend far beyond HRQoL studies.
—Statistics in Medicine, 2011, 30
The book sits well in the Interdisciplinary Statistics Series, containing much insightful discussion of the issues and not too much mathematics. It is carefully written and well organized and likely to become a standard reference in the area, taking its place on many a bookshelf, both personal and library-based.
—International Statistical Review (2010), 78, 3

Descriere

Using SAS, SPSS, and R, this book addresses design and analysis aspects in enough detail so that readers can apply statistical methods to their own longitudinal studies. This edition includes a new chapter on testing models that involve moderation and mediation, a new chapter on QALYs and QTWiST specific to clinical trials, and recent methodological developments for the analysis of trials with missing data. It also presents revised discussions of multiple comparisons procedures that focus on the integration of HRQoL outcomes with other study outcomes using gatekeeper strategies. Data sets, examples, applications, and SAS, R, and SPSS code are available on the book’s website.