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AuthorFuruya-Kanamori, Luis
AuthorKostoulas, Polychronis
AuthorDoi, Suhail A R
Available date2020-12-22T11:08:30Z
Publication Date2020-12-01
Publication NameJournal of Clinical Epidemiology
Identifierhttp://dx.doi.org/10.1016/j.jclinepi.2020.12.015
CitationLuis Furuya-Kanamori, Polychronis Kostoulas, Suhail A.R. Doi, A new method for synthesizing test accuracy data outperformed the bivariate method, Journal of Clinical Epidemiology, 2020, , ISSN 0895-4356, https://doi.org/10.1016/j.jclinepi.2020.12.015.
URIhttp://hdl.handle.net/10576/17234
AbstractThis paper outlines the development of a new method (split component synthesis; SCS) for meta-analysis of diagnostic accuracy studies and assesses its performance against the commonly used bivariate random effects model. The SCS method summarises the study-specific natural logarithm of the diagnostic odds ratios (ln(DOR)), which mainly reflects test discrimination rather than threshold effects, and then splits the summary ln(DOR) into its component parts, logit of sensitivity and logit of specificity. Performance of the estimator under the SCS method was assessed through simulation and compared against the bivariate random effects model estimator in terms of bias, mean squared error (MSE), and coverage probability across varying degrees of between-studies heterogeneity. The SCS estimator for the DOR, Se, and Sp were less biased and had smaller MSE than the bivariate model estimators. Despite the wider width of the 95% confidence intervals under the bivariate model, the latter had a poorer coverage probability compared to that under the SCS method. The SCS estimator outperforms the bivariate model estimator and thus represents an improvement in our approach to diagnostic meta-analyses. The SCS method is available to researchers through the diagma module in Stata and the SCSmeta function in R.
SponsorQatar National Research Fund NPRP10-0129-170274
Languageen
PublisherElsevier
Subjectbivariate
diagnostic accuracy
diagnostic odds ratio
hierarchical
meta-analysis
performance
TitleA new method for synthesizing test accuracy data outperformed the bivariate method
TypeArticle
dc.accessType Open Access


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