Overview
- Focuses on statistical applications from clinical trials, biomarker analysis, and personalized medicine to applications in finance and business analytics
- A unique selection of papers from broad and multi-disciplinary critical hot topics - from academic, government, and industry perspectives - to appeal to a wide variety of applied research interests
- All papers feature original, peer-reviewed content
- Includes supplementary material: sn.pub/extras
Part of the book series: ICSA Book Series in Statistics (ICSABSS)
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Table of contents (25 papers)
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Front Matter
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Biomarker and Personalized Medicine
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Front Matter
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Dose Ranging Studies in Clinical Trials
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Front Matter
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Innovative Clinical Trial Designs and Analysis
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Front Matter
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Keywords
- Bayesian statistics
- personalized medicine
- survival analysis
- adaptive designs
- statistical genetics
- non-clinical CMC statistical application
- diagnostic medicine
- clinical trials
- clinical trial design
- modeling
- data analysis
- clinical trial analysis
- model misspecification
- futility design
- applied statistics
- data mining
- high-dimensional data mining
- biomarker analysis
- business analytics
- finance
About this book
Editors and Affiliations
About the editors
Jianchang Lin, Ph.D., is Principal Statistician at Takeda Pharmaceuticals, with extensive experience in oncology drug clinical development, including leading successful NDA/MAA submissions and worldwide drug approvals. Dr. Lin’s research interests include Bayesian methodologies, survival analysis and Bayesian adaptive designs, and their application in clinical trials.
Bushi Wang, Ph.D., is a biostatistician at Boehringer Ingelheim Pharmaceuticals, Inc. He researches clinical trials across different therapeutic areas and different phases, largely focusing on late stage oncology and cardiovascular trials, supporting approval. He is co-founder of the Multiple Comparison Procedures Society, a .U.S organization supporting the international MCP conferences.
Xiaowen Hu, Ph.D., is Assistant Professor in the Department of Statistics, Colorado State University. Her research interests include spatial analysis, time series analysis, Bayesian analysis, and statistical analysis in business and empirical finance.
Kun Chen, Ph.D., is Assistant Professor in the Department of Statistics, University of Connecticut. His research interests include multivariate analysis, dimension reduction, robust statistics, statistical computing and their broad applications in ecology, genetics, public health, and other areas of applied statistics.
Ray Liu, Ph.D., is Head of the Statistical Innovation and Consultation Center at Takeda Pharmaceuticals, Inc. His research interests include design and analysis of omics studies, integrated analysis, and text mining.
Bibliographic Information
Book Title: Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
Book Subtitle: Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
Editors: Jianchang Lin, Bushi Wang, Xiaowen Hu, Kun Chen, Ray Liu
Series Title: ICSA Book Series in Statistics
DOI: https://doi.org/10.1007/978-3-319-42568-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
Hardcover ISBN: 978-3-319-42567-2Published: 15 November 2016
Softcover ISBN: 978-3-319-82610-3Published: 28 June 2018
eBook ISBN: 978-3-319-42568-9Published: 13 November 2016
Series ISSN: 2199-0980
Series E-ISSN: 2199-0999
Edition Number: 1
Number of Pages: XV, 359
Number of Illustrations: 24 b/w illustrations, 44 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Biostatistics, Probability and Statistics in Computer Science