Firth Logistic Regression Analysis for Sepsis and COVID-19 Organ Support

9.5 KB of analysis results from a Firth logistic regression study on new organ support in patients with sepsis and COVID-19. The dataset was authored by Se Ju Lee and last updated on April 17, 2026. It is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Validate Firth logistic regression methodology for rare event analysis in clinical data.
• Study predictors of new organ support requirements in patients with sepsis.
• Analyze the intersection of sepsis and COVID-19 clinical outcomes.
• Benchmark statistical analysis results for similar clinical research datasets.

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Analysis focuses on a specific, clinically relevant outcome (new organ support).
• Uses a specialized statistical method (Firth logistic regression) suitable for rare events.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset appears to contain analysis results, not raw patient-level data.

Provenance

Source

figshare, author Se Ju Lee

Collection Method

Likely derived from a clinical research study, but the specific data collection method is not detailed.

Time Range

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Freshness

Last updated 2026-04-17 17:43:19; freshness should be verified.

Geography

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