Using Critical Success Index or Gilbert Skill score as composite measures of positive predictive value and sensitivity in diagnostic accuracy studies: weather forecasting informing epilepsy research.

Mbizvo, Gashirai K ORCID: 0000-0002-9588-2944, Bennett, Kyle H, Simpson, Colin R, Duncan, Susan E, Chin, Richard FM and Larner, Andrew J (2023) Using Critical Success Index or Gilbert Skill score as composite measures of positive predictive value and sensitivity in diagnostic accuracy studies: weather forecasting informing epilepsy research. Epilepsia, 64 (6). pp. 1466-1468.

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Official URL: http://dx.doi.org/10.1111/epi.17537

Abstract

The Critical Success Index (CSI) and Gilbert Skill score (GS) are verification measures that are commonly used to check the accuracy of weather forecasting. In this article, we propose that they can also be used to simplify the joint interpretation of positive predictive value (PPV) and sensitivity estimates across diagnostic accuracy studies of epilepsy data. This is because CSI and GS each provide a single measure that takes the weather forecasting equivalent of PPV and sensitivity into account. We have re-analysed data from our recent systematic review of diagnostic accuracy studies of administrative epilepsy data using CSI and GS. We summarise the results and benefits of this approach.

Item Type:	Article
Uncontrolled Keywords:	diagnostic test accuracy, ratio of verification, routine data, systematic review, threat score, validation studies
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User:	Symplectic Admin
Date Deposited:	20 Feb 2023 13:43
Last Modified:	08 Feb 2024 02:30
DOI:	10.1111/epi.17537
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3168504