caa a22 4500 606242155 CHVBK 20210128101317.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11336-014-9430-0 doi (NATIONALLICENCE)springer-10.1007/s11336-014-9430-0 Meta-analysis of Diagnostic Accuracy and ROC Curves with Covariate Adjusted Semiparametric Mixtures [Elektronische Daten] [Philipp Doebler, Heinz Holling] Many screening tests dichotomize a measurement to classify subjects. Typically a cut-off value is chosen in a way that allows identification of an acceptable number of cases relative to a reference procedure, but does not produce too many false positives at the same time. Thus for the same sample many pairs of sensitivities and false positive rates result as the cut-off is varied. The curve of these points is called the receiver operating characteristic (ROC) curve. One goal of diagnostic meta-analysis is to integrate ROC curves and arrive at a summary ROC (SROC) curve. Holling, Böhning, and Böhning (Psychometrika 77:106-126, 2012a) demonstrated that finite semiparametric mixtures can describe the heterogeneity in a sample of Lehmann ROC curves well; this approach leads to clusters of SROC curves of a particular shape. We extend this work with the help of the $$t_{\alpha }$$ t α transformation, a flexible family of transformations for proportions. A collection of SROC curves is constructed that approximately contains the Lehmann family but in addition allows the modeling of shapes beyond the Lehmann ROC curves. We introduce two rationales for determining the shape from the data. Using the fact that each curve corresponds to a natural univariate measure of diagnostic accuracy, we show how covariate adjusted mixtures lead to a meta-regression on SROC curves. Three worked examples illustrate the method. The Psychometric Society, 2014 diagnostic meta-analysis nationallicence summary receiver operating characteristic curve nationallicence transformations nationallicence semiparametric mixtures nationallicence meta-regression nationallicence Doebler Philipp Institut für Psychologie, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany aut Holling Heinz Institut für Psychologie, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany aut Psychometrika Springer US; http://www.springer-ny.com 80/4(2015-12-01), 1084-1104 0033-3123 80:4<1084 2015 80 11336 https://doi.org/10.1007/s11336-014-9430-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-014-9430-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Doebler Philipp Institut für Psychologie, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany aut NATIONALLICENCE 700 1- Holling Heinz Institut für Psychologie, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/4(2015-12-01), 1084-1104 0033-3123 80:4<1084 2015 80 11336