The 2x2 Matrix

Contingency, Confusion and the Metrics of Binary Classification

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  • © 2024
  • Latest edition

Overview

  • Provides worked examples using data from clinical practice
  • Explains the development of 2x2 tables and their implications for clinical practice
  • Provides comprehensive coverage of basics of the topic at a level accessible to those with basic mathematical knowledge

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About this book

This book describes, extends, and illustrates the metrics of binary classification through worked examples.


Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain an understanding of sensitivity and specificity and predictive values along with many other parameters.


The contents are highly structured, and the use of worked examples facilitates understanding and interpretation.


This book is a resource for clinicians in any discipline who are involved in the performance or assessment of test accuracy studies and professionals in the disciplines of machine learning or informatics wishing to gain insight into clinical applications of 2x2 tables.

Keywords

Table of contents (9 chapters)

Authors and Affiliations

  • Cognitive Function Clinic, Walton Centre for Neurology and Neurosurgery, Liverpool, UK

    A. J. Larner

About the author

AJ Larner has been a consultant neurologist with an interest in cognitive disorders for over 20 years, affording him a wealth of experience in the use of 2x2 tables in the context of diagnostic test accuracy studies in clinical practice.

Bibliographic Information

  • Book Title: The 2x2 Matrix

  • Book Subtitle: Contingency, Confusion and the Metrics of Binary Classification

  • Authors: A. J. Larner

  • DOI: https://doi.org/10.1007/978-3-031-47194-0

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-47193-3Published: 09 January 2024

  • eBook ISBN: 978-3-031-47194-0Published: 08 January 2024

  • Edition Number: 2

  • Number of Pages: XVIII, 252

  • Number of Illustrations: 55 b/w illustrations

  • Topics: Statistics for Life Sciences, Medicine, Health Sciences, Neurology, Health Informatics, Machine Learning

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