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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

  • Jianchang Lin
  • Bushi Wang
  • Xiaowen Hu
  • Kun Chen
  • Ray Liu

Part of the ICSA Book Series in Statistics book series (ICSABSS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Biomarker and Personalized Medicine

  3. Bayesian Methods and Applications

    1. Front Matter
      Pages 35-35
    2. Mário de Castro, Ming-Hui Chen, Yuanye Zhang
      Pages 37-48
    3. Jianchang Lin, Li-An Lin, Serap Sankoh
      Pages 61-73
  4. Dose Ranging Studies in Clinical Trials

    1. Front Matter
      Pages 75-75
    2. Xiwen Ma, Wei Zheng, Yuefeng Lu
      Pages 91-104
  5. Innovative Clinical Trial Designs and Analysis

  6. Clinical and Safety Monitoring in Clinical Trials

    1. Front Matter
      Pages 189-189
    2. Greg Ball, Patrick M. Schnell
      Pages 201-211
  7. Statistical Applications in Nonclinical and Preclinical Drug Development

    1. Front Matter
      Pages 213-213
    2. Richard Montes, Bryan Bernat, Catherine Srebalus-Barnes
      Pages 259-277
  8. Statistical Learning Methods and Applications with Large-scale Data

    1. Front Matter
      Pages 279-279
    2. Pei-Sheng Lin, Jun Zhu, Shu-Fu Kuo, Katherine Curtis
      Pages 281-291
    3. Gregory Vaughan, Robert Aseltine, Sy Han Chiou, Jun Yan
      Pages 293-304
    4. Yangguang Zang, Yinjun Zhao, Qingzhao Zhang, Hao Chai, Sanguo Zhang, Shuangge Ma
      Pages 305-321
    5. Chongliang Luo, Dipak Dey, Kun Chen
      Pages 323-335
  9. Statistical Applications in Business and Finance

    1. Front Matter
      Pages 337-337
    2. Xiaoqin Tang, Zhehui Luo, Joseph C. Gardiner
      Pages 339-352
  10. Back Matter
    Pages 353-359

About these proceedings

Introduction

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.
  • 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

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

Editors and affiliations

  • Jianchang Lin
    • 1
  • Bushi Wang
    • 2
  • Xiaowen Hu
    • 3
  • Kun Chen
    • 4
  • Ray Liu
    • 5
  1. 1.Global StatisticsTakeda PharmaceuticalsCambridgeUSA
  2. 2.BiostatisticsBoehringer Ingelheim PharmaceuticalsRidgefieldUSA
  3. 3.Colorado State University Fort CollinsUSA
  4. 4.University of Connecticut StorrsUSA
  5. 5.Global StatisticsTakeda Pharmaceuticals Global StatisticsCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-42568-9
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-42567-2
  • Online ISBN 978-3-319-42568-9
  • Series Print ISSN 2199-0980
  • Series Online ISSN 2199-0999
  • Buy this book on publisher's site