Cox Regression Analysis of 180-Day Post-Discharge Mortality

3,938 patient records form the basis for a Cox regression analysis focused on mortality within 180 days after hospital discharge. The dataset, authored by Jun Kawabata, provides tabular clinical research data shared under a CC BY 4.0 license.

Use Cases

• Conduct Cox regression analysis to identify hazard ratios for mortality predictors within the 180-day post-discharge window using the 3,938 patient records.
• Validate survival analysis models by benchmarking against the published Cox regression results derived from this clinical cohort.
• Explore associations between clinical variables and the 180-day mortality outcome documented in the analysis.

Strengths

• Analysis is grounded in a substantial cohort of 3,938 patient records.
• Dataset is explicitly structured for Cox regression, a standard survival analysis technique.
• Clear focus on a clinically relevant 180-day post-discharge mortality outcome.

Limitations

• The 5.5 KB file size indicates the dataset contains summary or analysis results, not the raw patient-level data with individual columns.
• Without access to the original column names, reproducibility and secondary analysis of the underlying data are restricted.
• The dataset's utility is confined to the specific published analysis, offering limited scope for novel modeling.

Provenance

Source

Jun Kawabata via figshare.

Collection Method

Clinical research analysis, methodology implied by Cox regression.

Time Range

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Freshness

Last updated March 2026.

Geography

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