Modern Clinical Trial Analysis

  • Wan Tang
  • Xin Tu

Table of contents

  1. Front Matter
    Pages i-ix
  2. Changyong Feng, Yu Han, Pan Wu, Xin Tu
    Pages 1-23
  3. Wan Tang, Naiji Lu, Rui Chen, Hui Zhang
    Pages 25-53
  4. Hua He, Douglas Gunzler, Yan Ma, Yinglin Xia
    Pages 55-79
  5. W. Jackson Hall
    Pages 81-125
  6. Min Qian, Inbal Nahum-Shani, Susan A. Murphy
    Pages 127-148
  7. Kathleen A. Boyd, Andrew H. Briggs, Pierre Ducournau, Marlene Gyldmark, Frederic de Reydet, Jim Cassidy
    Pages 149-166
  8. Yi Tsong, Joanne Zhang
    Pages 167-182
  9. Yi Tsong, Jinglin Zhong
    Pages 183-201
  10. Babette A. Brumback, Wendy B. London
    Pages 203-225
  11. Jeanne Kowalski, William Matsui
    Pages 227-246
  12. Back Matter
    Pages 247-253

About this book


This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing.  As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included.  The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens. 

The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful.   


bioinformatics biostatistics cancer clinical trials longitudinal data analysis survival analysis

Editors and affiliations

  • Wan Tang
    • 1
  • Xin Tu
    • 2
  1. 1.School of Medicine & Dentistry, Dept. Biostatistics & ComputationalUniversity of RochesterRochesterUSA
  2. 2.School of Medicine & Dentistry, Dept. Biostatistics & ComputationalUniversity of RochesterRochesterUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4614-4321-6
  • Online ISBN 978-1-4614-4322-3
  • About this book