ACHIEVE Project: Propensity Score Matching Analysis of HIV Treatment Outcomes in Tanzania

Propensity score matching analysis of the ACHIEVE project's effect on viral rebound and achieving undetectable viral load among children living with HIV in Tanzania. The dataset is 5.5 KB in size, stored in XLS format, and was authored by Amon Exavery. It was last updated on May 15, 2026.

Use Cases

• Estimate the average treatment effect of a health intervention based on propensity score matching.
• Calculate the average treatment effect on the treated for a specific patient cohort.
• Model the impact of project interventions on viral rebound outcomes.
• Analyze factors associated with achieving an undetectable viral load at follow-up.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial exploration.
• License is CC-BY-4.0, permitting broad reuse with attribution.

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

figshare

Collection Method

Analysis of project interventions, likely using observational data.

Freshness

Last updated 2026-05-15 17:40:37; freshness should be verified.

Geography

Tanzania