Meta-Analysis of Full ROC Curves: Additional Flexibility by Using Semiparametric Distributions of Diagnostic Test Values

Autor/inn/en	Hoyer, Annika; Kuss, Oliver
Titel	Meta-Analysis of Full ROC Curves: Additional Flexibility by Using Semiparametric Distributions of Diagnostic Test Values
Quelle	In: Research Synthesis Methods, 10 (2019) 4, S.528-538 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hoyer, Annika)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1364
Schlagwörter	Meta Analysis; Diagnostic Tests; Correlation; Intervals; Simulation; Diabetes; Medical Research; Screening Tests; Generalization; Models + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Diagnostic test; Diagnostischer Test; Korrelation; Simulation program; Simulationsprogramm; Screening-Verfahren; Analogiemodell
Abstract	Diagnostic test accuracy studies frequently report on sensitivities and specificities for more than one threshold of the diagnostic test under study. Although it is obvious that the information from all thresholds should be used for a meta-analysis, in practice, frequently, only a single pair of sensitivity and specificity is selected. To overcome this disadvantage, we recently proposed a statistical model for the meta-analysis of such full receiver operating characteristic (ROC) curves that uses the relationship between a ROC curve and a bivariate model for interval-censored data. In this model, diagnostic tests values reported by the single studies were assumed to follow a parametric distribution. We propose a generalization of this model that allows for a flexible semiparametric modelling of the underlying distribution of the diagnostic test values by using the idea of piecewise constant hazard modelling. We show the results of a simulation study that indicates that the approach works reasonably well in practice. Finally, we illustrate the model by the example of population-based screening for type 2 diabetes mellitus. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01