Authors:
- Describes group sequential methods for clinical trials with multiple endpoints including recently developed approaches not covered in other books
- Includes several real clinical trial examples to illustrate the concepts and to help readers apply the methods in practice
- Illustrates how to implement the sample size methods using standard statistical software including SAS and R
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Part of the book sub series: JSS Research Series in Statistics (JSSRES)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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Department of Data Science, Natl Cerebral & Cardiovascular Ctr, Suita, Japan
Toshimitsu Hamasaki
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Department of Data Science, National Cerebral & Cardiovascular Ctr, Suita, Japan
Koko Asakura
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Dept. of Biostat. & the ctr for Biostat., Harvard T.H. Chan Sc. of Pub. Health, Boston, USA
Scott R. Evans
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Biostatistics Department, Shionogi & Co., Ltd., Osaka, Japan
Toshimitsu Ochiai
About the authors
Koko Asakura, Research Assistant, National Cerebral and Cardiovascular Center, 5-7-1 Fujishirodai, Suita, Osaka 565-8565, Japan
Scott Richard Evans, Senior Research Scientist, Harvard School of Public Health, 651 Huntington Avenue, Boston, Massachusetts 02115, USAToshimitsu Ochiai, Biostatistics Department, Shionogi & Co., Ltd., Japan
Bibliographic Information
Book Title: Group-Sequential Clinical Trials with Multiple Co-Objectives
Authors: Toshimitsu Hamasaki, Koko Asakura, Scott R. Evans, Toshimitsu Ochiai
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-4-431-55900-9
Publisher: Springer Tokyo
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-4-431-55898-9Published: 10 June 2016
eBook ISBN: 978-4-431-55900-9Published: 01 June 2016
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: IX, 113
Number of Illustrations: 14 b/w illustrations
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law