Overview
- First-ever comprehensive book devoted to this topic
- Hands-on approach and essential guidance on how to interpret and independently conduct a meta-analysis of diagnostic test accuracy studies
- Multinational contributor team, presenting a multidisciplinary and multidimensional approach to umbrella reviews
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Table of contents (21 chapters)
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Part II
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Part III
Keywords
About this book
This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the context of case studies from various clinical disciplines.
Diagnosis is central in medical decision-making, and in many other fields of human endeavor, such as education and psychology. The plurality of sources of evidence on diagnostic test accuracy poses a huge challenge for practitioners and researchers, as do the multiple dimensions of evidence validity, which include sensitivity, specificity, predictive values, and likelihood ratios.
This book offers an invaluable resource for anyone aiming to improve decision-making processes in diagnosis, classification or risk prognostication, from epidemiologists to biostatisticians, radiologists, laboratory physicians and graduate students, as any physician interested in refining his methodological skills in clinical diagnosis.
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Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Diagnostic Meta-Analysis
Book Subtitle: A Useful Tool for Clinical Decision-Making
Editors: Giuseppe Biondi-Zoccai
DOI: https://doi.org/10.1007/978-3-319-78966-8
Publisher: Springer Cham
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-78965-1Published: 16 August 2018
Softcover ISBN: 978-3-030-07691-7Published: 19 January 2019
eBook ISBN: 978-3-319-78966-8Published: 24 July 2018
Edition Number: 1
Number of Pages: XVII, 319
Number of Illustrations: 30 b/w illustrations, 15 illustrations in colour
Topics: Epidemiology, Biostatistics, Statistics for Life Sciences, Medicine, Health Sciences, Clinical Psychology, Laboratory Medicine