Cox Regression Predictors of Tuberculosis Among HIV Patients on HAART, 2023

13.5 KB of tabular data containing results from a multiple-variable Cox regression analysis. The dataset identifies predictors of tuberculosis among HIV patients enrolled on Highly Active Antiretroviral Therapy with the Universal Test and Treat approach in 2023. It was authored by Abdulbasit Sherfa and is shared under a CC-BY-4.0 license.

Use Cases

• Identify key risk factors for TB among HIV patients based on the Cox regression results
• Validate or compare predictive models for TB incidence in populations on HAART
• Inform clinical guidelines by analyzing predictors associated with the UTT approach

Strengths

• Data is openly licensed (CC-BY-4.0) for reuse and redistribution
• Focus on a specific and clinically relevant research question (HIV-TB co-infection predictors)
• Analysis employs a multiple-variable Cox regression, a standard method for time-to-event data

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 contains statistical outputs from a clinical study or retrospective analysis.

Time Range

2023

Freshness

Last updated 2026-04-10 17:37:46; freshness should be verified

Geography

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