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© 2016

New Developments in Statistical Modeling, Inference and Application

Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

  • Zhezhen Jin
  • Mengling Liu
  • Xiaolong Luo

Benefits

  • The most timely and advanced contributions from the joint 2014 ICSA/KISS Applied Statistics Symposium

  • All papers feature original, peer-reviewed content

  • Coverage consists of new developments in statistical modeling and clinical research including model development, model checking, and innovative clinical trial design and analysis

Conference proceedings

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Theoretical Development in Statistical Modeling

  3. New Developments in Trial Design

    1. Front Matter
      Pages 89-89
    2. Ming-Dauh Wang, Dominique A. Williams, Elisa V. Gomez, Jyoti N. Rayamajhi
      Pages 107-119
  4. Novel Applications and Implementation

    1. Front Matter
      Pages 149-149
    2. Jürgen Symanzik, Shuming Bao, XiaoTian Dai, Miao Shui, Bing She
      Pages 151-166
    3. Xiyun Jiao, David A. van Dyk, Roberto Trotta, Hikmatali Shariff
      Pages 167-184
    4. Xia Wang, Ming-Hui Chen, Rita C. Kuo, Dipak K. Dey
      Pages 185-202
    5. Guoyi Zhang, Rong Liu
      Pages 203-214

About these proceedings

Introduction

The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon.  The contributions cover new developments in statistical modeling and clinical research:  including model development, model checking, and innovative clinical trial design and analysis.  Each paper 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.  It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.
  • The most timely and advanced contributions from the joint 2014 ICSA/KISS Applied Statistics Symposium
  • All papers feature original, peer-reviewed content
  • Coverage consists of new developments in statistical modeling and clinical research including model development, model checking, and innovative clinical trial design and analysis

Keywords

Bayesian clinical trials clinical trial design diagnostic medicine high-dimensional data mining modeling data analysis personalized medicine innovative clinical design model misspecification clinical trial analysis futility design Bayesian statistics applied statistics data mining

Editors and affiliations

  • Zhezhen Jin
    • 1
  • Mengling Liu
    • 2
  • Xiaolong Luo
    • 3
  1. 1.Mailman School of Public Health Department of BiostatisticsColumbia UniversityNew YorkUSA
  2. 2.Division of BiostatisticsNYU School of MedicineNew YorkUSA
  3. 3.Biostatistics Celgene CorporationSummitUSA

About the editors

Zhezhen Jin, Ph.D., is Professor of Biostatistics in the Department of Biostatistics, Mailman School of Public Health, Columbia University.  He is a Fellow of the American Statistical Association.  His research interests include survival analysis, resampling methods, longitudinal data analysis, and nonparametric and semiparametric models.  Dr. Jin has collaborated on research in the areas of cardiology, neurology, cancer and epidemiology and is co-founding editor of Contemporary Clinical Trials Communications.

Mengling Liu, Ph.D., is Associate Professor and Interim Director of the Division of Biostatistics in the Department of Population Health and the Department of Environmental Medicine at the New York University School of Medicine.  Dr. Liu’s research interests include semiparametric modeling and inference for survival data, joint analysis with longitudinal data, statistical genetics, statistical modeling in epidemiology studies and other types of risk-set sampling studies.  She is engaged in a broad range of collaborative projects in the area of cancer epidemiology, pulmonary disease, cardiovascular disease, and environmental health science.

Xiaolong Luo, Ph.D., is Senior Director of Statistics with Celgene Corporation.  Dr. Luo has many years of experience in the design, conduct, and analysis of clinical trials.  Prior to joining Celgene, he was a Director of Statistics with Johnson & Johnson and a Senior Research Biostatistician with Bristol-Meyers Squibb.  He served as a faculty member at St. Jude Children’s Research Hospital before joining industry. 

Bibliographic information

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