Factors Associated with Clinical Severity: Multivariate Logistic Regression Results

A 5.5 KB Excel file containing results from a multivariate logistic regression analysis of factors associated with clinical severity. The dataset was authored by Gabriel Bafunyembaka and last updated on April 28, 2026. The specific clinical context and underlying patient data are not detailed in the provided metadata.

Use Cases

• Validate logistic regression model coefficients based on the reported analysis.
• Compare identified risk factors for clinical severity with findings from other studies.
• Incorporate regression results into meta-analyses of clinical predictors.
• Use the statistical model as a baseline for predictive modeling of patient outcomes.

Strengths

• File size is 5.5 KB, indicating a compact and focused dataset.
• Released under a permissive CC-BY-4.0 license.
• Last update timestamp is precisely recorded as 2026-04-28 17:37:14.

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

Gabriel Bafunyembaka via figshare

Collection Method

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

Time Range

The temporal coverage of the underlying clinical data is not specified.

Freshness

Last updated 2026-04-28 17:37:14; freshness should be verified.

Geography

The geographic scope of the study is not specified.