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Frontiers of Biostatistical Methods and Applications in Clinical Oncology

  • Shigeyuki Matsui
  • John Crowley

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Motomi Mori, Racky Daffé, Byung S. Park, Jeffrey Tyner
    Pages 53-64
  3. Satoshi Teramukai
    Pages 65-84
  4. Wei Yann Tsai, Xiaodong Luo, John Crowley
    Pages 151-164
  5. Megan Othus, Alan Mitchell, Bart Barlogie, Gareth Morgan, John Crowley
    Pages 165-178
  6. John Crowley, Alan Mitchell, Pingping Qu, Gareth Morgan, Bart Barlogie
    Pages 231-242
  7. Michael LeBlanc
    Pages 243-256
  8. Donna Pauler Ankerst, Andreas Strobl, Sonja Grill
    Pages 275-295
  9. William E. Barlow
    Pages 331-342
  10. Stephanie Page Hoskins, Derek Shyr, Yu Shyr
    Pages 359-379
  11. Pingping Qu, Erming Tian, Bart Barlogie, Gareth Morgan, John Crowley
    Pages 413-434
  12. Back Matter
    Pages 435-438

About this book

Introduction

This book presents the state of the art of biostatistical methods and their applications in clinical oncology. Many methodologies established today in biostatistics have been brought about through its applications to the design and analysis of oncology clinical studies. This field of oncology, now in the midst of evolution owing to rapid advances in biotechnologies and cancer genomics, is becoming one of the most promising disease fields in the shift toward personalized medicine. Modern developments of diagnosis and therapeutics of cancer have also been continuously fueled by recent progress in establishing the infrastructure for conducting more complex, large-scale clinical trials and observational studies. The field of cancer clinical studies therefore will continue to provide many new statistical challenges that warrant further progress in the methodology and practice of biostatistics. This book provides a systematic coverage of various stages of cancer clinical studies. Topics from modern cancer clinical trials include phase I clinical trials for combination therapies, exploratory phase II trials with multiple endpoints/treatments, and confirmative biomarker-based phase III trials with interim monitoring and adaptation. It also covers important areas of cancer screening, prognostic analysis, and the analysis of large-scale molecular data in the era of big data.

Keywords

Biostatistics Cancer Clinical Trials Clinical Oncology Design and Analysis of Clinical Trials Statistical Analysis of Omics Data

Editors and affiliations

  • Shigeyuki Matsui
    • 1
  • John Crowley
    • 2
  1. 1.Graduate School of MedicineNagoya University Graduate School of MedicineNagoyaJapan
  2. 2.Cancer Research and BiostatisticsSeattleUSA

Bibliographic information

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