Factors Affecting Diagnostic Performance of Pooled Testing via Logistic Regression

A dataset modeling factors that affect the predicted diagnostic performance of pooled testing strategies. The dataset was created by Abraham Degarege and is available as a 5.5 KB XLS file on figshare under a CC-BY-4.0 license. It was last updated on June 1, 2026.

Use Cases

• Modeling the sensitivity and specificity of pooled testing based on input variables.
• Simulating the impact of disease prevalence on the efficiency of group testing strategies.
• Analyzing the cost-benefit trade-offs of diagnostic pooling using logistic regression outputs.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• File size is small (5.5 KB), facilitating quick download and inspection.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and completeness require verification.

Provenance

Source

figshare

Freshness

Last updated 2026-06-01 17:58:04; freshness should be verified.