02960nam 22006615 450 991052007350332120251113180745.09783030749200(electronic bk.)978303074919410.1007/978-3-030-74920-0(MiAaPQ)EBC6845679(Au-PeEL)EBL6845679(CKB)20462092800041(PPN)260833827(OCoLC)1293245346(DE-He213)978-3-030-74920-0(EXLCZ)992046209280004120220106d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe 2x2 Matrix Contingency, Confusion and the Metrics of Binary Classification /by A.J. Larner1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (175 pages)Mathematics and Statistics SeriesPrint version: Larner, A. J. The 2x2 Matrix Cham : Springer International Publishing AG,c2022 9783030749194 Includes bibliographical references and index.Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Reciprocal measures -- Other measures, other tables -- Outcome measures not directly related to the 2x2 table -- Index.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.Mathematics and Statistics SeriesBiometryNeurologyMedical informaticsMachine learningBiostatisticsNeurologyHealth InformaticsMachine LearningBiometry.Neurology.Medical informatics.Machine learning.Biostatistics.Neurology.Health Informatics.Machine Learning.519.56610.285Larner A. J.782674MiAaPQMiAaPQMiAaPQ9910520073503321The 2x2 Matrix2584186UNINA