Research methods in radiology

Research methods in radiology: a practical guide

by Doria, Andrea S.

Type Book
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This book 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. [Ed.].

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Title Statements

  • Full title :Research methods in radiology : a practical guide / [ed. by] Andrea S Doria [et autres].

Summary

This book 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. [Ed.].

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Edition Statements

  • Publication Date:2018

Publication Statements

  • Publisher(s):Thieme Publishers
  • Place of Publication:New York
  • Language:eng
  • Publication Date:2018

The Physical Object

  • Description:305 pages : : illustrations

Edition Identifiers

  • ISBN:9781604068269, 1604068264
  • oclc:on1031387288

Table of Contents

[Contents] Overview of research designs applied to radiology. -- Descriptive statistics. -- Statistical methods for analysis of diagnostic tests. -- Measurement : validity, reliability, responsiveness. -- Observational designs. -- Randomized controlled trials. -- Systemic reviews, evidence-based imaging, and knowledge translation. -- Decision analysis. -- Costs and consequences : an introduction to economic evaluation in radiology. -- Conducting and publishing research. -- Obtaining ethics approval, data management, and budget formulation. -- Steps for using research as a success tool in academia. -- Introduction to statistical inference : point estimation, confidence intervals, and hypothesis tests. -- An introduction to linear and logistic regression. -- Sample size estimation. -- Introduction to meta-analysis

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