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© 2016

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
  • 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

Conference proceedings

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

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

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

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