METABRIC Breast Cancer Clinical Variables for Copula Regression

Copula regression models jointly analyze overall survival and age at diagnosis in breast cancer patients. The dataset likely contains clinical variables from the METABRIC study, used to compare Gaussian and Gumbel copula models. Author Huma Rani published the analysis on figshare under CC-BY-4.0 license.

Use Cases

• Comparing copula families for modeling mixed-type outcomes based on binary survival and continuous age variables.
• Evaluating model goodness-of-fit for clinical risk assessment based on the described likelihood ratio test.
• Studying upper tail dependence in clinical outcomes based on the Gumbel copula performance.
• Integrating flexible dependency models into oncology research based on the study's conclusions.

Strengths

• Dataset is licensed under CC-BY-4.0, allowing open reuse.
• Analysis includes formal model comparison with a likelihood ratio test (p < 0.0001).
• PIT diagnostics validated the adequacy of marginal specifications.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data size is only 9.5 KB, indicating a very limited scope.

Provenance

Source

METABRIC dataset.

Collection Method

Analysis of clinical variables using copula regression models.

Freshness

Last updated 2026-04-10 17:51:09; freshness should be verified.