Hospital Anesthesia and Surgery Logistic Regression Model Comparisons

17.5 KB of model comparison data in an XLS file, uploaded by Isabela S. Sirtoli to figshare. The dataset details the composition of multiple logistic regression models for a development cohort, comparing models with different variable sets. The final model includes statistically significant variables and an interaction term between airway surgery and tracheal intubation.

Use Cases

• Comparing the predictive performance of nested logistic regression models based on the described variable sets.
• Analyzing the impact of including hospital, anesthetic, and surgical variables on model outcomes.
• Studying the interaction effect between airway surgery and tracheal intubation mentioned in the final model.
• Understanding variable selection processes where non-significant predictors are excluded.

Strengths

• Dataset is openly licensed under CC-BY-4.0, facilitating reuse.
• File size is 17.5 KB, ensuring quick download and inspection.
• Model development process is clearly described in the metadata, including variable selection steps.

Limitations

• Row count and column definitions are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

figshare

Collection Method

Likely derived from a clinical research study analyzing a development cohort.

Time Range

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Freshness

Last updated 2026-04-21 17:39:45; freshness should be verified.

Geography

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