Overview
- Explains the development of 2x2 tables and their implications for clinical practice
- Provides comprehensive coverage of the basics of the topic at a level accessible to those with basic mathematical knowledge but without any knowledge of statistics
- Provides worked examples using data from clinical practice to illustrate the calculation of all the parameters which may be derived from a 2x2 table
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Table of contents (7 chapters)
Keywords
About this book
This book presents and discusses the numerous measures of test performance that can be derived from 2x2 tables. 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 a good 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.
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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/10.1007/978-3-030-74920-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
eBook ISBN: 978-3-030-74920-0Published: 06 January 2022
Edition Number: 1
Number of Pages: XVI, 166
Number of Illustrations: 1 b/w illustrations
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Neurology, Health Informatics, Machine Learning