Logistic Regression of Healthcare-Seeking Factors for Fatally Ill Infants

25.5 KB of regression results analyzing factors linked to formal healthcare use for neonates and infants with fatal illnesses. Henry D. Kalter authored this dataset, which was last updated on May 22, 2026. The data is stored in an XLS file and shared under a CC-BY-4.0 license.

Use Cases

• Train logistic regression models based on the multivariable analysis described.
• Identify key demographic or socioeconomic predictors of healthcare-seeking behavior.
• Benchmark public health intervention strategies against the regression factors.
• Analyze disparities in formal healthcare access for critically ill infants.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 25.5 KB, making it quick to download and inspect.
• Specific focus on neonates and 1-11-month-olds with fatal illnesses.

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.

Provenance

Source

figshare

Collection Method

Multivariable logistic regression analysis, as described in the title.

Time Range

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Freshness

Last updated 2026-05-22 17:46:53; freshness should be verified.

Geography

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