Provider Prescribing Practices Analyzed via Linear and Logistic Regression

A dataset of 102 providers used for multivariable linear and logistic regression analysis. Deborah G. Smith authored this dataset, which is hosted on figshare and last updated on May 26, 2026. The data likely contains variables related to prescribing practices.

Use Cases

• Train linear regression models to predict prescribing behavior based on provider characteristics.
• Train logistic regression models to classify prescribing decisions based on provider features.
• Analyze the relationship between provider attributes and prescribing outcomes.
• Benchmark statistical models for healthcare behavior prediction.

Strengths

• Dataset size is precisely defined with N=102 providers.
• The analysis method is clearly stated as multivariable linear and logistic regression.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Freshness

Last updated 2026-05-26 17:26:10; freshness should be verified.