Cox Regression Predictors for TB in HIV Patients on HAART, 2023

Abdulbasit Sherfa published a dataset containing bivariable Cox regression results for predictors of tuberculosis among HIV patients enrolled on Highly Active Antiretroviral Therapy (HAART) with a Universal Test and Treat (UTT) approach. The dataset is 13.5 KB in size, stored in an XLS file, and was last updated in April 2026. It is licensed under CC-BY-4.0.

Use Cases

• Identify risk factors for TB based on Cox regression results mentioned in the description
• Model survival outcomes for HIV patients on HAART based on the described regression analysis
• Validate clinical predictors for TB co-infection within a UTT framework based on the dataset's focus

Strengths

• Dataset is small (13.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0).
• Focus is specific to a defined clinical cohort (HIV patients on HAART with UTT).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Abdulbasit Sherfa via figshare

Collection Method

Likely derived from clinical study data, as suggested by the title's focus on regression analysis.

Time Range

2023

Freshness

Last updated 2026-04-10 17:37:45; freshness should be verified.

Geography

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