Complete Mental Health Logistic Regression Analysis Dataset

Logistic regression analyses for complete mental health status, based on a sample of 2,024 individuals. The dataset, created by Daniyal Rahim, was last updated in April 2026 and is shared under a CC-BY-4.0 license. It is provided in a single XLS file with a size of 13.5 KB.

Use Cases

• Replicate logistic regression models predicting mental health status from demographic and clinical variables.
• Analyze the coefficients and odds ratios for predictor variables included in the regression tables.
• Benchmark new mental health prediction models against the published logistic regression results.

Strengths

• Analysis based on a sample of 2,024 individuals.
• Dataset is openly licensed (CC-BY-4.0) for reuse.

Limitations

• Very small file size (13.5 KB) suggests limited scope, likely containing only model results, not raw data.
• Unknown column names and sample data prevent immediate analysis of underlying features.
• Potential temporal staleness if the underlying study data is older than the 2026 update.

Provenance

Source

figshare, author Daniyal Rahim.

Collection Method

Presumably results from a statistical analysis of a mental health study.

Time Range

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Freshness

Last updated in April 2026.

Geography

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