Overview
- Presents statistical methods in early clinical drug and biomarker development in one convenient volume
- Includes chapters written by experts in the pharmaceutical industry
- Emphasizes practical applications by highlighting real-world examples, state-of-the-art developments, and innovative methods
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About this book
Biomarker development and early clinical development are the two critical areas on which the book focuses. By having the two sections of the book dedicated to each of these topics, readers will have a more complete understanding of how applying statistical methods to early drug development can help identify the right drug for the right patient at the right dose. Also presented are exciting applications of machine learning and statistical modeling, along with innovative methods and state-of-the-art advances, making this a timely and practical resource.
This volume is ideal for statisticians, researchers, and professionals interested in pharmaceutical research and development. Readers should be familiar with the fundamentals of statistics and clinical trials.
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Keywords
- Biomarkers
- Biomarker testing
- Biomarker Development
- Biomarker data
- Biomarker book
- Early clinical development
- Predictive biomarker
- Drug development statistics
- Biostatistics
- Personalized Medicine
- Precision Medicine
- Translational Medicine
- Clinical Trials
- Pharmaceutical Development
- Machine learning medicine
- Clinical pharmacology
- Clinical pharmacology in drug development
- Pharmacodynamics
Table of contents (15 chapters)
Editors and Affiliations
About the editors
Cheng Su is an Executive Director of Data Science & Analytics at BioMarin, Inc. His research interests include statistical applications and tool development in drug discovery, biomarkers, clinical trials design, risk based monitoring, mobile health and big data.
Bibliographic Information
Book Title: Statistical Methods in Biomarker and Early Clinical Development
Editors: Liang Fang, Cheng Su
DOI: https://doi.org/10.1007/978-3-030-31503-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-31502-3Published: 27 December 2019
Softcover ISBN: 978-3-030-31505-4Published: 21 January 2021
eBook ISBN: 978-3-030-31503-0Published: 26 December 2019
Edition Number: 1
Number of Pages: XII, 348
Number of Illustrations: 23 b/w illustrations, 31 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Physiological, Cellular and Medical Topics, Biostatistics