Diagnostic Performance of a Logistic Regression Model for Tuberculosis

A logistic regression model combines anti-PtpA and anti-PtpB antibody levels for diagnostic purposes. The 5.5 KB XLS file was authored by Jorge Hernández-Bello and last updated on 2026-05-18. Its specific application likely relates to tuberculosis diagnosis, as PtpA and PtpB are Mycobacterium tuberculosis antigens.

Use Cases

• Validate a diagnostic model based on combined antibody levels mentioned in the description
• Benchmark logistic regression performance for medical diagnostics
• Analyze the relationship between anti-PtpA and anti-PtpB antibody levels for disease classification

Strengths

• Model results are shared under a permissive CC-BY-4.0 license
• File size is 5.5 KB, indicating a focused and easily downloadable dataset

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, authored by Jorge Hernández-Bello

Freshness

Last updated 2026-05-18 17:34:41; freshness should be verified