Translational Radiation Oncology
  1. 500 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

Translational Radiation Oncology covers the principles of evidence-based medicine and applies them to the design of translational research. The book provides valuable discussions on the critical appraisal of published studies and recent developments in radiation oncology, allowing readers to learn how to evaluate the quality of such studies with respect to measuring outcomes and make effective use of all types of evidence. By reading this book, researchers have access to a practical approach to help them navigate challenging considerations in study design and implementation.It is a valuable resource for researchers, oncologists and members of biomedical field who want to understand more about translational research applied to the field of radiation oncology. Translational medicine serves as an indispensable tool in grant writing and funding efforts, so understanding how to apply its principles to research is necessary to guarantee that results will be impactful to patients.- Provides a clear process for understanding, designing, executing and analyzing clinical and translational research- Presents practical, step-by-step guidance to help readers take ideas from the lab to the bedside- Written by a team of oncologists, radiologists and clinical research experts that fully cover translational research in radiation oncology

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Yes, you can access Translational Radiation Oncology by Jeffrey A. Bakal, Daniel Kim, David Wazer, Adam E.M. Eltorai, Jeffrey A. Bakal,Daniel Kim,David Wazer,Adam E.M. Eltorai in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Handbook for Designing and Conducting Clinical and Translational Research
  5. Copyright
  6. List of contributors
  7. Foreword
  8. Preface
  9. List of Illustrations
  10. List of Tables
  11. Chapter 1 : Introduction
  12. Chapter 2 : Translational process
  13. Chapter 3 : Scientific method
  14. Chapter 4 : Basic research
  15. Chapter 5 : Overview of preclinical research
  16. Chapter 6 : What problem are you solving?
  17. Chapter 7 : Types of interventions: drug, device, diagnostic, procedural technique, or behavior change
  18. Chapter 8 : Drug discovery
  19. Chapter 9 : Drug testing
  20. Chapter 10 : Device discovery and prototyping
  21. Chapter 11 : Device testing
  22. Chapter 12 : Diagnostic discovery
  23. Chapter 13 : Diagnostic testing
  24. Chapter 14 : Procedural technique development in radiation oncology
  25. Chapter 15 : Behavioral intervention studies in radiation oncology
  26. Chapter 16 : Artificial intelligence
  27. Chapter 17 : Introduction to clinical research: What is it? Why is it needed?
  28. Chapter 18 : The question: types of research questions and how to develop them
  29. Chapter 19 : Defining the study population: who and why?
  30. Chapter 20 : Outcome measurements: What data are being collected and why?
  31. Chapter 21 : Optimizing the question: Balancing significance and feasibility: Will the findings affect change? Can that change be implemented in clinical practice?
  32. Chapter 22 : Statistical efficiency in study design
  33. Chapter 23 : Basic statistical principles
  34. Chapter 24 : Distribution
  35. Chapter 25 : Hypotheses and error types
  36. Chapter 26 : Power
  37. Chapter 27 : Regression
  38. Chapter 28 : Continuous variable analyses: t-test, Mann–Whitney, Wilcoxin rank
  39. Chapter 29 : Categorical variable analyses: Chi-square, Fisher's exact, Mantel–Haenszel
  40. Chapter 30 : Analysis of variance
  41. Chapter 31 : Correlation
  42. Chapter 32 : Biases
  43. Chapter 33 : Methods and statistics for high-throughput data in basic science
  44. Chapter 34 : Sample size
  45. Chapter 35 : Statistical software
  46. Chapter 36 : Design principles: hierarchy of study types
  47. Chapter 37 : Case series: design, measures, classic example
  48. Chapter 38 : Case-control study
  49. Chapter 39 : Cohort studies
  50. Chapter 40 : Cross-sectional study
  51. Chapter 41 : Longitudinal studies
  52. Chapter 42 : Meta-analysis: design, measures, real-world examples
  53. Chapter 43 : A cost-effectiveness study: design, measures, classic example
  54. Chapter 44 : Diagnostic test evaluation
  55. Chapter 45 : Reliability study
  56. Chapter 46 : Database studies
  57. Chapter 47 : Surveys and questionnaires: design, measures, and classical examples
  58. Chapter 48 : Qualitative methods and mixed-methods: design, measures, and classic examples
  59. Chapter 49 : Visual analytics: design, measures, classic example
  60. Chapter 50 : Randomized controlled trial
  61. Chapter 51 : Nonrandomized trials in clinical oncology
  62. Chapter 52 : Historical control: design and measures
  63. Chapter 53 : Crossover study
  64. Chapter 54 : Factorial design
  65. Chapter 55 : Large, pragmatic: design, measures, classic example
  66. Chapter 56 : Equivalence and non-inferiority trials: design, measures, classic example
  67. Chapter 57 : Adaptive designs
  68. Chapter 58 : Randomization: fixed or adaptive procedures
  69. Chapter 59 : Blinding: who and why?
  70. Chapter 60 : Phase 0 trials: windows of opportunity
  71. Chapter 61 : Registries
  72. Chapter 62 : Phases of clinical trials: overview
  73. Chapter 63 : IDEAL framework for innovations in surgery
  74. Chapter 64 : Patient perspectives
  75. Chapter 65 : Ethics and review boards: Guiding principles, permissible and non-permissible questions, IRB process
  76. Chapter 66 : Regulatory considerations for new drugs and devices
  77. Chapter 67 : Funding approaches
  78. Chapter 68 : Conflicts of interest
  79. Chapter 69 : Clinical preparation—subject recruitment
  80. Chapter 70 : Quality control
  81. Chapter 71 : Translational radiation research—special populations
  82. Chapter 72 : Case report forms
  83. Chapter 73 : Subject adherence: are the subjects following the protocol? If not, how to assess and analyze (intention to treat vs. per protocol)
  84. Chapter 74 : Survival analysis
  85. Chapter 75 : FDA overview
  86. Chapter 76 : Investigational New Drug Applications
  87. Chapter 77 : New drug application
  88. Chapter 78 : Regulatory basics - medical devices for the US market
  89. Chapter 79 : Regulatory basics: radiation-emitting electronic products
  90. Chapter 80 : Orphan drugs
  91. Chapter 81 : Biologics License Application
  92. Chapter 82 : Combination products
  93. Chapter 83 : Chemistry, manufacturing, and controls
  94. Chapter 84 : Postmarket drug safety monitoring
  95. Chapter 85 : Postmarket device safety monitoring
  96. Chapter 86 : Implementation research overview
  97. Chapter 87 : Design and analysis
  98. Chapter 88 : Mixed-methods research
  99. Chapter 89 : Clinical guideline development
  100. Chapter 90 : History of the Cooperative Group system (National Clinical Trials Network)
  101. Chapter 91 : Digital health
  102. Chapter 92 : Public health and cancer: an overview
  103. Chapter 93 : Epidemiology
  104. Chapter 94 : Multifactorial considerations of human health and public health in oncology
  105. Chapter 95 : Good questions
  106. Chapter 96 : Population and environmental-specific considerations
  107. Chapter 97 : Public health law
  108. Chapter 98 : Public health institutions and systems
  109. Chapter 99 : Diversity, equity, and inclusion
  110. Chapter 100 : Ethics in scientific publishing
  111. Chapter 101 : Presenting data
  112. Chapter 102 : Manuscript preparation
  113. Chapter 103 : Promoting research
  114. Chapter 104 : Social media and clinical trials
  115. Chapter 105 : Quality improvement
  116. Chapter 106 : Education to translate research into practice
  117. Chapter 107 : Team science and building a team
  118. Chapter 108 : Promoting research: why, how, indices h-index, m-index, etc
  119. Chapter 109 : Venture Pathways for aspiring radiation oncologists
  120. Chapter 110 : Developing Translational Ventures with the Federal Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) Seed Funds
  121. Chapter 111 : Sample forms and templates
  122. Glossary
  123. Index
  124. A