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Design und Analyse von Crossover-Versuchen, Dritter, Jones, Kenward...-
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eBay-Artikelnr.:392872670751
Artikelmerkmale
- Artikelzustand
- PublishedOn
- 2014-11-18
- Title
- Design and Analysis of Cross-Over Trials, Third Edition (Chapman
- ISBN
- 9781439861424
- EAN
- 9781439861424
- Subject Area
- Mathematics, Medical
- Publication Name
- Design and Analysis of Cross-Over Trials
- Item Length
- 9.5 in
- Publisher
- CRC Press LLC
- Subject
- Clinical Medicine, Biostatistics, Probability & Statistics / General, Pharmacology
- Publication Year
- 2014
- Series
- Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1 in
- Item Width
- 6.4 in
- Item Weight
- 27.3 Oz
- Number of Pages
- 438 Pages
Über dieses Produkt
Product Information
Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary science, psychology, sports science, and agriculture. The first edition of this book was the first to be wholly devoted to the subject. The second edition was revised to mirror growth and development in areas where the design remained in widespread use and new areas where it had grown in importance. This new Third Edition : Contains seven new chapters written in the form of short case studies that address re-estimating sample size when testing for average bioequivalence, fitting a nonlinear dose response function, estimating a dose to take forward from phase two to phase three, establishing proof of concept, and recalculating the sample size using conditional power Employs the R package Crossover , specially created to accompany the book and provide a graphical user interface for locating designs in a large catalog and for searching for new designs Includes updates regarding the use of period baselines and the analysis of data from very small trials Reflects the availability of new procedures in SAS, particularly proc glimmix Presents the SAS procedure proc mcmc as an alternative to WinBUGS for Bayesian analysis Complete with real data and downloadable SAS code, Design and Analysis of Cross-Over Trials, Third Edition provides a practical understanding of the latest methods along with the necessary tools for implementation.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1439861420
ISBN-13
9781439861424
eBay Product ID (ePID)
99498636
Product Key Features
Publication Name
Design and Analysis of Cross-Over Trials
Format
Hardcover
Language
English
Subject
Clinical Medicine, Biostatistics, Probability & Statistics / General, Pharmacology
Publication Year
2014
Series
Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
Type
Textbook
Subject Area
Mathematics, Medical
Number of Pages
438 Pages
Dimensions
Item Length
9.5 in
Item Height
1 in
Item Width
6.4 in
Item Weight
27.3 Oz
Additional Product Features
Edition Number
3
LCCN
2014-028235
Intended Audience
College Audience
Series Volume Number
138
Lc Classification Number
Rs189
Reviews
"Jones and Kenward added several valuable case studies to the third edition of their book. The case studies illustrate elegantly the applications of recent innovations in statistical methodologies to cross-over trials. The new edition is an excellent reference for scientists who want to understand cross-over trials or are interested in learning how statistical advancements in the last decade could be used to expand the versatility of cross-over trials." --Christy Chuang-Stein, Ph.D., Vice President, Head of Statistical Research and Consulting Center, Pfizer Inc. "Jones and Kenward present students, academics, and researchers with the third edition of their text, dedicated to an understanding of a comparative trait known as the cross-over trial, through which patients involved in a study received different sequences of treatments. New for the third edition, the text includes seven new chapters devoted to case studies, coverage of the R package Crossover, updates related to the use of period baselines and the analysis of very small trials, and a variety of other features." --Ringgold, Inc. Book News, February 2015 Praise for the Second Edition: "In the second edition, updated from the original published in 1989, the authors have added discussions of new, more comprehensive (downloadable) datasets and some additional topics. ... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book is a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area." --Journal of the American Statistics Association, Praise for the Second Edition: In the second edition, updated from the original published in 1989, the authors have added discussions of new more comprehensive (downloadable) datasets and some additional topics ... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book are a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area. -Journal of the American Statistics Association, March 2004, "Jones and Kenward added several valuable case studies to the third edition of their book. The case studies illustrate elegantly the applications of recent innovations in statistical methodologies to cross-over trials. The new edition is an excellent reference for scientists who want to understand cross-over trials or are interested in learning how statistical advancements in the last decade could be used to expand the versatility of cross-over trials." --Christy Chuang-Stein, Ph.D., Vice President, Head of Statistical Research and Consulting Center, Pfizer Inc. Praise for the Second Edition: "In the second edition, updated from the original published in 1989, the authors have added discussions of new, more comprehensive (downloadable) datasets and some additional topics. ... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book is a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area." --Journal of the American Statistics Association, "Jones and Kenward added several valuable case studies to the third edition of their book. The case studies illustrate elegantly the applications of recent innovations in statistical methodologies to cross-over trials. The new edition is an excellent reference for scientists who want to understand cross-over trials or are interested in learning how statistical advancements in the last decade could be used to expand the versatility of cross-over trials." --Christy Chuang-Stein, Ph.D.,Vice President, Head of Statistical Research and Consulting Center, Pfizer Inc. "As in the previous two editions, this edition offers a comprehensive coverage on the design and analysis of cross-over trials. With several major noteworthy updates, it will assist statisticians to conveniently tackle practical issues that arise in a cross-over trial... The most substantial update is the addition of seven new chapters (Chapters 8-14) in the form of short case studies. These real-world examples cover a wide range of issues and solutions above and beyond what is commonly encountered in a cross-over trial and significantly broaden the book...the third edition of Design and Analysis of Cross-Over Trials remains an outstanding reference for statisticians who work on cross-over trials, whether occasionally or frequently." --Haiying Chen, Wake Forest School of Medicine, in Journal of the American Statistical Association, Volume 111, 2016 "Jones and Kenward present students, academics, and researchers with the third edition of their text, dedicated to an understanding of a comparative trait known as the cross-over trial, through which patients involved in a study received different sequences of treatments. New for the third edition, the text includes seven new chapters devoted to case studies, coverage of the R package Crossover, updates related to the use of period baselines and the analysis of very small trials, and a variety of other features." --Ringgold, Inc. Book News, February 2015 Praise for the Second Edition: "In the second edition, updated from the original published in 1989, the authors have added discussions of new, more comprehensive (downloadable) datasets and some additional topics. ... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book is a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area." --Journal of the American Statistics Association, Praise for the Second Edition: "In the second edition, updated from the original published in 1989, the authors have added discussions of new, more comprehensive (downloadable) datasets and some additional topics. ... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book is a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area." --Journal of the American Statistics Association, Praise for the Second Edition: In the second edition, updated from the original published in 1989, the authors have added discussions of new more comprehensive (downloadable) datasets and some additional topics ... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book are a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area. --Journal of the American Statistics Association, March 2004
Copyright Date
2014
Dewey Decimal
610.727
Dewey Edition
23
Illustrated
Yes
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