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