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E-grāmata: Principles of Clinical Cancer Research

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  • Formāts: 576 pages
  • Izdošanas datums: 28-Nov-2018
  • Izdevniecība: Demos Medical Publishing
  • Valoda: eng
  • ISBN-13: 9781617052392
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  • Formāts: 576 pages
  • Izdošanas datums: 28-Nov-2018
  • Izdevniecība: Demos Medical Publishing
  • Valoda: eng
  • ISBN-13: 9781617052392
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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
Contributors xi
Foreword xv
Ralph R. Weichselbaum
Preface xvii
I INTRODUCTION
1 Introduction to Clinical Cancer Research
1(15)
Loren K. Mell
2 Bias and Pitfalls in Cancer Research
16(12)
Mak Djulbegovic
Mia Djulbegovic
Benjamin Djulbegovic
II TRANSLATIONAL CANCER RESEARCH
3 Principles of Molecular Biology
28(14)
Reem A. Malek
Phuoc T. Tran
4 The Cell Cycle, Cellular Death, and Metabolism
42(23)
Jacqueline Douglass
Andrew Sharabi
Phuoc T. Tran
5 Metastasis and the Tumor Microenvironment
65(18)
Jacqueline Douglass
Andrew Sharabi
Phuoc T. Tran
6 Preclinical Methods
83(25)
Hailun Wang
Phuoc T. Tran
7 Cancer Therapeutic Strategies and Treatment Resistance
108(19)
Kekoa Taparra
Phuoc T. Tran
8 Prognostic and Predictive Biomarkers
127(15)
Ariel E. Marciscano
Phuoc T. Tran
9 Working With Industry
142(19)
Swan Lin
Yazdi K. Pithavala
Sandip Pravin Patel
III POPULATION AND OUTCOMES RESEARCH
10 Study Designs
161(18)
Michael Milligan
Aileen Chen
11 Basic Statistics for Clinical Cancer Research
179(40)
Loren K. Mell
Hanjie Shen
Benjamin E. Leiby
12 Statistical Modeling for Clinical Cancer Research
219(16)
Sanjay Aneja
James B. Yu
13 Cancer Epidemiology: Measuring Exposures, Outcomes, and Risk
235(19)
Rishi Deka
Loren K. Mell
14 Survivorship: Effects of Cancer Treatment on Long-Term Morbidity
254(10)
Zorimar Rivera-Nunez
Kaveh Zakeri
Sharad Goyal
15 Longitudinal and Observational Data
264(12)
Jeff Burkeen
Scott Keith
Jona Hattangadi-Gluth
16 Time-to-Event Analysis
276(28)
Lorew K. Mell
Kaveh Zakeri
Hanjie Shen
17 Machine Learning and High-Dimensional Data Analysis
304(19)
Sanjay Aneja
James B. Yu
18 Health Outcomes and Disparities Research
323(20)
Paige Sheridan
James Murphy
19 Cost-Effectiveness Analysis
343(15)
Reith Roy Sarkar
James Murphy
IV CLINICAL TRIALS
20 Introduction to Clinical Trials
358(13)
Loren K. Mell
21 Early Phase Clinical Trials
371(34)
Ying Yuan
Yanhong Zhou
Jack J. Lee
22 Late Phase Clinical Trials
405(19)
Karla V. Ballman
23 Quality of Life and Patient-Reported Outcome Analysis
424(27)
Minh Tam Truong
Michael A. Dyer
24 Trials in Cancer Screening, Prevention, and Public Health
451(17)
Rishi Deka
Loren K. Mell
25 Imaging and Technology Trials
468(20)
Aaron B. Simon
Daniel R. Simpson
Brent S. Rose
26 Adaptive and Innovative Clinical Trial Designs
488(14)
Mark Chang
Xuan Deng
Qiang (Ed) Zhang
27 Noninferiority and Equivalence Trials
502(19)
Tie-Hua Ng
28 Systematic Reviews and Meta-Analyses
521(21)
Enoch Chang
Nicholas G. Zaorsky
Henry S. Park
V CONCLUSION
29 Future Directions in Clinical Cancer Research
542(25)
Brandon E. Turner
Aadel A. Chaudhuri
Index 567
Associate Professor, Department of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland