Design and Analysis of Quality of Life Studies in Clinical Trials
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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, 2013I 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, 2011It 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 2011Professor 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, 30The 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.
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—International Statistical Review (2010), 78, 3
Presents a range of solutions to analytic issues. This title reflects developments in methodology with coverage of mixture models and a dataset example. It implements examples using SAS and R code and incorporates a number of examples from real QoL clinical trials to illustrate design and analysis methods. Les mer
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Detaljer
- Forlag
- Chapman & Hall/CRC
- Innbinding
- Innbundet
- Språk
- Engelsk
- Sider
- 424
- ISBN
- 9781420061178
- Utgave
- 2. utg.
- Utgivelsesår
- 2010
- Format
- 23 x 16 cm
Anmeldelser
«
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, 2013I 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, 2011It 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 2011Professor 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, 30The 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