Patient Satisfaction Factors Analyzed via Logistic Regression

Mekdes Tamiru Yizengaw authored a statistical analysis of patient satisfaction factors. The dataset is a 9.5 KB Excel file containing results from bivariable and multivariable logistic regression. It was last updated on May 22, 2026.

Use Cases

• Identify key drivers of patient satisfaction based on the regression analysis.
• Build predictive models for patient satisfaction outcomes.
• Validate statistical methods for analyzing healthcare survey data.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a focused and manageable analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-22 17:22:02; freshness should be verified.