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ICSA Book Series in Statistics

Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics

Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins

Editors: Lin, J., Wang, B., Hu, X., Chen, K., Liu, R. (Eds.)

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  • 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
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eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-319-42568-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-319-42567-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.99
price for USA in USD
  • ISBN 978-3-319-82610-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins.  The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis.  Each papers was peer-reviewed by at least two referees and also by an editor.  The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.

About the authors

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.

Table of contents (25 chapters)

Table of contents (25 chapters)
  • Optimal Biomarker-Guided Design for Targeted Therapy with Imperfectly Measured Biomarkers

    Pages 3-13

    Zang, Yong (et al.)

  • Statistical Considerations for Evaluating Prognostic Biomarkers: Choosing Optimal Threshold

    Pages 15-20

    Zhang, Zheng

  • Accuracy of Meta-Analysis Using Different Levels of Diagnostic Accuracy Measures

    Pages 21-33

    Song, Yanyan (et al.)

  • Bayesian Frailty Models for Multi-State Survival Data

    Pages 37-48

    Castro, Mário (et al.)

  • Bayesian Integration of In Vitro Biomarker to Analysis of In Vivo Safety Assessment

    Pages 49-60

    Wang, Ming-Dauh (et al.)

Buy this book

eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-319-42568-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-319-42567-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.99
price for USA in USD
  • ISBN 978-3-319-82610-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

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
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-42568-9
DOI
10.1007/978-3-319-42568-9
Hardcover ISBN
978-3-319-42567-2
Softcover ISBN
978-3-319-82610-3
Series ISSN
2199-0980
Edition Number
1
Number of Pages
XV, 359
Number of Illustrations
24 b/w illustrations, 44 illustrations in colour
Topics