Description

Book Synopsis

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

  • Introductory chapters on analysis of diagnostic tests, linear and logistic regression, meta-analysis, statistical inference, and economic evaluation provide easy-to-follow tutorials
  • Each chapter includes learning objectives, basic concepts, supplementary tables, and ancillary online material
  • Case studies with images, graphs, and tables highlight primary "take home" points
  • Sample size calculations are illustrated for a wide range of research questions
  • Code is included for use in R, free open-source software for statistical analysis

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.



Table of Contents

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'

Research Methods in Radiology: A Practical Guide

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    RRP £72.50 – you save £3.62 (4%)

    Order before 4pm today for delivery by Mon 29 Jun 2026.

    A Paperback / softback by Andrea S. Doria, George Tomlinson, Joseph Beyene

    1 in stock

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      View other formats and editions of Research Methods in Radiology: A Practical Guide by Andrea S. Doria

      Publisher: Thieme Medical Publishers Inc
      Publication Date: 24/01/2018
      ISBN13: 9781604068269, 978-1604068269
      ISBN10: 1604068264

      Description

      Book Synopsis

      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

      • Introductory chapters on analysis of diagnostic tests, linear and logistic regression, meta-analysis, statistical inference, and economic evaluation provide easy-to-follow tutorials
      • Each chapter includes learning objectives, basic concepts, supplementary tables, and ancillary online material
      • Case studies with images, graphs, and tables highlight primary "take home" points
      • Sample size calculations are illustrated for a wide range of research questions
      • Code is included for use in R, free open-source software for statistical analysis

      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.



      Table of Contents

      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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