Continuous Diagnostic Tests
Cross-source consensus on Continuous Diagnostic Tests from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Highlighted claims
- Many diagnostic tests are continuous biomarkers whose clinical classification depends on thresholds. — Meta-analysis of networks of diagnostic tests with binary and continuous results
- Continuous tests reported at multiple thresholds can be represented as conditional binomial counts across ordered thresholds. — Meta-analysis of networks of diagnostic tests with binary and continuous results
- Thresholded continuous test results have a monotonic nested structure as thresholds change. — Meta-analysis of networks of diagnostic tests with binary and continuous results
- The hybrid model can estimate sensitivity and false positive fraction curves across observed thresholds for continuous tests. — Meta-analysis of networks of diagnostic tests with binary and continuous results