Principles of Clinical Cancer Research (eBook, ePUB)

Redaktion: Mell, Loren K.; Zhang, Qiang (Ed); Yu, James B.; Tran, Phuoc T.

• Format: ePub

Produktbeschreibung

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

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, D ausgeliefert werden.

Produktdetails

• Verlag: Springer Publishing Company
• Seitenzahl: 576
• Erscheinungstermin: 28. November 2018
• Englisch
• ISBN-13: 9781617052392
• Artikelnr.: 54664860

Inhaltsangabe

Contents
Contributors
Foreword Ralph R. Weichselbaum
Preface
I. INTRODUCTION
1. Introduction to Clinical Cancer Research
Loren K. Mell
2. Bias and Pitfalls in Cancer Research
Mak Djulbegovic, Mia Djulbegovic, and Benjamin Djulbegovic
II. TRANSLATIONAL CANCER RESEARCH
3. Principles of Molecular Biology
Reem A. Malek and Phuoc T. Tran
4. The Cell Cycle, Cellular Death, and Metabolism
Jacqueline Douglass, Andrew Sharabi, and Phuoc T. Tran
5. Metastasis and the Tumor Microenvironment
Jacqueline Douglass, Andrew Sharabi, and Phuoc T. Tran
6. Preclinical Methods
Hailun Wang and Phuoc T. Tran
7. Cancer Therapeutic Strategies and Treatment Resistance
Kekoa Taparra and Phuoc T. Tran
8. Prognostic and Predictive Biomarkers
Ariel E. Marciscano and Phuoc T. Tran
9. Working With Industry
Swan Lin, Yazdi K. Pithavala, and Sandip Pravin Patel
III. POPULATION AND OUTCOMES RESEARCH
10. Study Designs
Michael Milligan and Aileen Chen
11. Basic Statistics for Clinical Cancer Research
Loren K. Mell, Hanjie Shen, and Benjamin E. Leiby
12. Statistical Modeling for Clinical Cancer Research
Sanjay Aneja and James B. Yu
13. Cancer Epidemiology: Measuring Exposures, Outcomes, and Risk
Rishi Deka and Loren K. Mell
14. Survivorship: Effects of Cancer Treatment on Long-Term Morbidity
Zorimar Rivera-Núñez, Kaveh Zakeri, and Sharad Goyal
15. Longitudinal and Observational Data
Jeff Burkeen, Scott Keith, and Jona Hattangadi-Gluth
16. Time-to-Event Analysis
Loren K. Mell, Kaveh Zakeri, and Hanjie Shen
17. Machine Learning and High-Dimensional Data Analysis
Sanjay Aneja and James B. Yu
18. Health Outcomes and Disparities Research
Paige Sheridan and James Murphy
19. Cost-Effectiveness Analysis
Reith Roy Sarkar and James Murphy
IV. CLINICAL TRIALS
20. Introduction to Clinical Trials
Loren K. Mell
21. Early Phase Clinical Trials
Ying Yuan, Yanhong Zhou, and Jack J. Lee
22. Late Phase Clinical Trials
Karla V. Ballman
23. Quality of Life and Patient-Reported Outcome Analysis
Minh Tam Truong and Michael A. Dyer
24. Trials in Cancer Screening, Prevention, and Public Health
Rishi Deka and Loren K. Mell
25. Imaging and Technology Trials
Aaron B. Simon, Daniel R. Simpson, and Brent S. Rose
26. Adaptive and Innovative Clinical Trial Designs
Mark Chang, Xuan Deng, and Qiang (Ed) Zhang
27. Noninferiority and Equivalence Trials
Tie-Hua Ng
28. Systematic Reviews and Meta-Analyses
Enoch Chang, Nicholas G. Zaorsky, and Henry S. Park
V. CONCLUSION
29. Future Directions in Clinical Cancer Research
Brandon E. Turner and Aadel A. Chaudhuri
Index