Simulation Study Results for Logistic Regression Shrinkage Factors

Supplementary Material 3 from a simulation study on agreement between heuristic and optimal shrinkage factors in logistic regression for risk prediction. The dataset is published on figshare by Alexander Pate under a CC-BY-4.0 license and was last updated on 2026-05-19. It is 11.4 MB in size and the content likely contains tables and methods.

Use Cases

• Comparing the performance of different shrinkage factor estimation methods (inferred from domain, verify after download)
• Benchmarking risk prediction model calibration across simulated sample sizes (inferred from domain, verify after download)
• Validating heuristic approaches for logistic regression regularization (inferred from domain, verify after download)

Strengths

• Published on figshare under a permissive CC-BY-4.0 license.
• File size is 11.4 MB, indicating a manageable download.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Alexander Pate via figshare

Collection Method

Likely generated from statistical simulation software as part of a research study.

Freshness

Last updated 2026-05-19 04:17:08.