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A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard
Yulun Liu
, Yong Chen, Haitao Chu
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Scopus citations
Overview
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Dive into the research topics of 'A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard'. Together they form a unique fingerprint.
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Mathematics
Diagnostic Accuracy
100%
Gold
82%
Unification
70%
Receiver Operating Characteristic
36%
Standards
36%
Generalized Linear Mixed Model
32%
Imperfect
22%
Model
21%
Diagnostic Tests
8%
Measurement Error
6%
Statistical method
6%
Nonexistence
5%
Covariates
5%
Medicine & Life Sciences
ROC Curve
55%
Linear Models
51%
Meta-Analysis
49%
Statistical Models
18%
Routine Diagnostic Tests
15%
Costs and Cost Analysis
10%
Agriculture & Biology
meta-analysis
74%
gold
63%
testing
11%
diagnostic techniques
5%
Chemical Compounds
Heterogeneity
15%
Error
12%