02847nam a22005295i 4500 978-3-031-47194-0 DE-He213 20251030110916.0 cr nn 008mamaa 240108s2024 sz | s |||| 0|eng d 9783031471940 978-3-031-47194-0 10.1007/978-3-031-47194-0 doi QH323.5 PBT bicssc MED090000 bisacsh PBT thema Larner, A. J. author. aut http://id.loc.gov/vocabulary/relators/aut 69320 The 2x2 Matrix [electronic resource] : Contingency, Confusion and the Metrics of Binary Classification / by A. J. Larner. 2nd ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XVIII, 252 p. 55 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification. 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. Biometry. 65981 Neurology . 66816 Medical informatics. 60693 Machine learning. 55059 Biostatistics. 65985 Neurology. 66816 Health Informatics. Machine Learning. 55059 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031471933 Printed edition: 9783031471957 https://doi.org/10.1007/978-3-031-47194-0 ZDB-2-SME ZDB-2-SXM 57121 57121