A semiparametric mixture model for the meta-analysis of diagnostic test accuracy studies
Year: 2025
Type: review
Abstract: Heterogeneity is a common challenge in meta-analysis, where differences in study design, populations, and measurement methods often violate the assumption of homogeneity, a violation that can substantially impact the validity, precision, and interpretation of pooled effect estimates [ref:1], [for full text, please go to the a.m. URL]
DOI: 10.3205/25gmds034
Authors: Remo, Flavia, Schlattmann, Peter, Lehmann, Thomas
Institutions: Jena University Hospital, Friedrich Schiller University Jena
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7103894962
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