Title Principles of Clinical Cancer Research
Subtitle
Author Loren K. Mell, Phuoc T. Tran, James B. Yu, Qiang (Ed) Zhang
ISBN 9781620700693
List price USD 99.00
Price outside India Available on Request
Original price
Binding Paperback
No of pages 576
Book size 178 x 254 mm
Publishing year 2019
Original publisher Demos Medical Publishing
Published in India by .
Exclusive distributors .
Sales territory Bangladesh, Pakistan, Sri Lanka
Status New Arrival
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Description:

Principles of Clinical Cancer Research provides comprehensive coverage of the fundamentals of clinical cancer research, including the full spectrum of methodologies used in the field. For those involved in research or considering research careers, this book offers a mix of practical advice and analytical tools for effective training in theoretical principles as well as specific, usable teaching examples. The clinical oncologist or trainee will find a high-yield, practical guide to the interpretation of the oncology literature and the application of data to real-world settings. Valuable for both researchers and clinicians who wish to sharpen their skills, this book contains all of the cornerstones and explanations needed to produce and recognize quality clinical science in oncology.

Written from the physician-scientist’s perspective, the book lays a strong foundation in preclinical sciences that is highly relevant to careers in translational oncology research along with coverage of population and outcomes research and clinical trials. It brings together fundamental principles in oncology with the statistical concepts one needs to know to design and interpret studies successfully. With each chapter including perspectives of both clinicians and scientists or biostatisticians, Principles of Clinical Cancer Research provides balanced, instructive, and high-quality topic overviews and applications that are accessible and thorough for anyone in the field.

Key Features:

  • Gives real-world examples and rationales behind which research methods to use when and why
  • Includes numerous tables featuring key statistical methods and programming commands used in everyday clinical research
  • Contains illustrative practical examples and figures in each chapter to help the reader master concepts
  • Provides tips and pointers for structuring a career, avoiding pitfalls, and achieving success in the field of clinical cancer research
  • Access to fully downloadable eBook

Contents:

Contributors

Foreword Ralph R. Weichselbaum

Preface

Share Principles of Clinical Cancer Research

Part I. Introduction

Chapter 1. Introduction to Clinical Cancer Research (Loren K. Mell)

Chapter 2. Bias and Pitfalls in Cancer Research (Mak Djulbegovic, Mia Djulbegovic, and Benjamin Djulbegovic)

Part II. Translational Cancer Research

Chapter 3. Principles of Molecular Biology (Reem A. Malek and Phuoc T. Tran)

Chapter 4. The Cell Cycle, Cellular Death, and Metabolism (Jacqueline Douglass, Andrew Sharabi, and Phuoc T. Tran)

Chapter 5. Metastasis and the Tumor Microenvironment (Jacqueline Douglass, Andrew Sharabi, and Phuoc T. Tran)

Chapter 6. Preclinical Methods (Hailun Wang and Phuoc T. Tran)

Chapter 7. Cancer Therapeutic Strategies and Treatment Resistance (Kekoa Taparra and Phuoc T. Tran)

Chapter 8. Prognostic and Predictive Biomarkers (Ariel E. Marciscano and Phuoc T. Tran)

Chapter 9. Working With Industry (Swan Lin, Yazdi K. Pithavala, and Sandip Pravin Patel)

Part III. Population and Outcomes Research

Chapter 10. Study Designs (Michael Milligan and Aileen Chen)

Chapter 11. Basic Statistics for Clinical Cancer Research (Loren K. Mell, Hanjie Shen, and Benjamin E. Leiby)

Chapter 12. Statistical Modeling for Clinical Cancer Research (Sanjay Aneja and James B. Yu)

Chapter 13. Cancer Epidemiology: Measuring Exposures, Outcomes, and Risk (Rishi Deka and Loren K. Mell)

Chapter 14. Survivorship: Effects of Cancer Treatment on Long-Term Morbidity (Zorimar Rivera-Núñez, Kaveh Zakeri, and Sharad Goyal)

Chapter 15. Longitudinal and Observational Data (Jeff Burkeen, Scott Keith, and Jona Hattangadi-Gluth)

Chapter 16. Time-to-Event Analysis (Loren K. Mell, Kaveh Zakeri, and Hanjie Shen)

Chapter 17. Machine Learning and High-Dimensional Data Analysis (Sanjay Aneja and James B. Yu)

Chapter 18. Health Outcomes and Disparities Research (Paige Sheridan and James Murphy)

Chapter 19. Cost-Effectiveness Analysis (Reith Roy Sarkar and James Murphy)

Part IV. Clinical Trials

Chapter 20. Introduction to Clinical Trials (Loren K. Mell)

Chapter 21. Early Phase Clinical Trials (Ying Yuan, Yanhong Zhou, and Jack J. Lee)

Chapter 22. Late Phase Clinical Trials (Karla V. Ballman)

Chapter 23. Quality of Life and Patient-Reported Outcome Analysis (Minh Tam Truong and Michael A. Dyer)

Chapter 24. Trials in Cancer Screening, Prevention, and Public Health (Rishi Deka and Loren K. Mell)

Chapter 25. Imaging and Technology Trials (Aaron B. Simon, Daniel R. Simpson, and Brent S. Rose)

Chapter 26. Adaptive and Innovative Clinical Trial Designs (Mark Chang, Xuan Deng, and Qiang (Ed) Zhang)

Chapter 27. Noninferiority and Equivalence Trials (Tie-Hua Ng)

Chapter 28. Systematic Reviews and Meta-Analyses (Enoch Chang, Nicholas G. Zaorsky, and Henry S. Park)

Part V. Conclusion

Chapter 29. Future Directions in Clinical Cancer Research (Brandon E. Turner and Aadel A. Chaudhuri)

Index

About the Editors:

Loren K. Mell, MD, Professor and Vice Chair of Clinical and Translational Research, Department of Radiation Medicine and Applied Sciences, University of California San Diego, Moores Cancer Center, La Jolla, California.

Phuoc T. Tran, MD, PhD, Associate Professor, Departments of Radiation Oncology & Molecular Radiation Sciences, Oncology and Urology, Program in Cellular and Molecular Medicine, The Johns Hopkins School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland.

James B. Yu, MD, PhD, Associate Professor of Therapeutic Radiology, Director, Prostate and Genitourinary Cancer Radiotherapy Program, Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center at Yale, Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut.

Qiang (Ed) Zhang, MD, PhD, Research Professor, Department of Ophthalmology, Vision Research Center, Wills Eye Hospital, Department of Pharmacology & Experimental Therapeutics, Division of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.

 

Target Audience:

Useful for clinical oncologists, trainees, researchers and clinicians.

 

 
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