Subgroup Performance Analysis: Model Discrimination Across Clinically Relevant Strata

860 bytes of tabular data analyzing model performance across clinical subgroups. The dataset includes Cochran's Q test results for heterogeneity and metrics such as AUC, PPV, NPV, and confidence intervals. It was authored by Alexy Tran-Dinh and last updated on May 5, 2026.

Use Cases

• Evaluate model heterogeneity across subgroups based on Cochran's Q test results
• Compare diagnostic performance metrics like AUC, PPV, and NPV across patient strata
• Assess model discrimination for conditions like COPD, ILD, and ECMO/HELT
• Validate predictive models for clinical applications involving CMV and transplantation

Strengths

• Includes statistical tests for heterogeneity (Cochran's Q) and multiple performance metrics (AUC, PPV, NPV)
• Focuses on clinically relevant subgroups for conditions like COPD, ILD, and ECMO

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

figshare

Freshness

Last updated 2026-05-05 18:00:20; freshness should be verified