Multivariate Logistic Regression Analysis of Six-Week Mortality

The results of a multivariate logistic regression analysis comparing a 6-week mortality group to a non-mortality group. The analysis was authored by Junli Zhang and is available under a CC BY 4.0 license. The dataset is provided as a 5.5 KB XLS file.

Use Cases

• Replicate the multivariate logistic regression analysis to validate reported mortality risk factors.
• Use the logistic regression coefficients to calculate odds ratios for specific clinical variables.
• Analyze the structure of the regression output to understand model variable selection for mortality prediction.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Analysis is focused on a specific clinical outcome (6-week mortality).
• Data is shared under a permissive CC BY 4.0 license.

Limitations

• The dataset is extremely small (5.5 KB), indicating it contains only summary model outputs, not the underlying patient data.
• Without the original columns or sample data, the specific variables used in the regression are unknown.
• The dataset's provenance, including sample size, time range, and geography, is not documented.

Provenance

Source

Junli Zhang via figshare

Collection Method

null

Time Range

null

Freshness

null

Geography

null