Authors:
- Focuses on the two advanced areas of adaptive model-based dose-finding methods for phase I trials with multiple drugs/outcomes in oncology and other fields
- Provides software implementations to facilitate planning of phase I trials using these methods in practice
- Serves as an excellent handbook for design and analysis of early-phase dose-finding trials, for graduate students and postdoctoral fellows in biostatistics, statisticians, and clinical investigators
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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About this book
Authors and Affiliations
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Department of Biostatistics and Bioinformatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Akihiro Hirakawa
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Pharmaceuticals and Medical Devices Agency, Tokyo, Japan
Hiroyuki Sato
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Division of Biostatistics, Hyogo College of Medicine Division of Biostatistics, Hyogo, Japan
Takashi Daimon
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Depart Biostatis, Graduate Scl Med, Nagoya University Depart Biostatis, Graduate Scl Med, Nagoya, Japan
Shigeyuki Matsui
About the authors
- Takashi Daimon, Division of Biostatistics, Hyogo College of Medicine
- Hiroyuki Satom, Biostatistics Group, Center for Product Evaluation, Pharmaceuticals and Medical Devices Agency
- Shigeyuki Matsui, Department of Biostatistics, Nagoya University Graduate School of Medicine
Bibliographic Information
Book Title: Modern Dose-Finding Designs for Cancer Phase I Trials: Drug Combinations and Molecularly Targeted Agents
Authors: Akihiro Hirakawa, Hiroyuki Sato, Takashi Daimon, Shigeyuki Matsui
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-4-431-55573-5
Publisher: Springer Tokyo
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-4-431-55572-8Published: 15 February 2018
eBook ISBN: 978-4-431-55573-5Published: 30 January 2018
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: XIII, 89
Number of Illustrations: 3 b/w illustrations
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Biostatistics