Model Variants

How it works

Comparisons

Highlighted claims

• The ANOVA-type model assumes tests evaluated in the same study are more similar than tests evaluated in different studies. — Meta-analysis of networks of diagnostic tests with binary and continuous results
• The independent model fits tests without shared parameters and is equivalent to fitting each test independently. — Meta-analysis of networks of diagnostic tests with binary and continuous results
• The meta-regression model borrows strength by sharing the random-effect covariance matrix across tests. — Meta-analysis of networks of diagnostic tests with binary and continuous results
• The ANOVA-plus model adds a hierarchical distribution over test-specific variances to include tests reported in only one study. — Meta-analysis of networks of diagnostic tests with binary and continuous results
• The model variants trade off flexibility, borrowing of strength, and data requirements. — Meta-analysis of networks of diagnostic tests with binary and continuous results