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Research Methods in Radiology provides concise, practical insights on how to design clinical and experimental studies in diagnostic imaging. This unique resource encompasses contributions from leaders in academic radiology as well as top epidemiologists, biostatisticians, and librarians with vast multidisciplinary and radiology research experience. The material reflects years of expertise teaching core biostatistics in radiology principles to residents, fellows, radiologists, and epidemiologists.
Given the vast amount of published information on research methodology and statistics in radiology, the authors goal was to write a high-yield review and study tool rather than a comprehensive book. Key topics are succinctly addressed in each chapter, including measurements in radiology; decision analysis in radiology; and systemic reviews, evidence-based imaging, and knowledge translation. Online exercises related to each topic enable residents to prepare for radiology board examinations and research radiologists to apply knowledge to clinical studies.
Key Highlights
This book is an indispensable review of research methodology for radiology students and residents. Practicing clinicians will also benefit from this precisely focused reference tool on clinical and experimental research.
Data sheet
Chapter 1 Overview of Research Designs Applied to Radiology
Chapter 2 Descriptive Statistics
Chapter 3 Diagnostic Tests
Chapter 4 Measurement: Validity, Reliability, and Responsiveness
Chapter 5 Observational Designs
Chapter 6 Randomized Controlled Trials
Chapter 7 Systematic Reviews, Evidence-Based Imaging, and Knowledge Translation
Chapter 8 Decision Analysis
Chapter 9 Costs and Consequences: Economic Evaluation in Radiology
Chapter 10 Conducting and Publishing Research
Chapter 11 Obtaining Ethics Approval, Data Management, and Budget Formulation
Chapter 12 Steps for Using Research as a Success Tool in Academia
Chapter 13 Statistical Inference: Point Estimation, Confidence Intervals, and Hypothesis Testing
Chapter 14 Linear and Logistic Regression
Chapter 15 Sample Size Estimation
Chapter 16 Meta-analysis
Appendix: A Brief Introduction to R
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