Semiparametric Efficient Fusion of Individual Data and Summary Statistics

A 1.3 MB research publication by Wenjie Hu, last updated May 2026, proposing methods for fusing individual-level data with external summary statistics. The work establishes a semiparametric efficiency bound and proposes data-fused and adaptive fusion estimators. Simulations and an application to a Helicobacter pylori infection dataset demonstrate the method's performance.

Use Cases

• Developing efficient estimators based on the proposed semiparametric framework for data fusion.
• Simulating the performance of fusion methods under different transportability assumptions.
• Applying adaptive fusion techniques to mitigate bias when external data assumptions fail.
• Benchmarking statistical inference methods using the Helicobacter pylori infection case study.

Strengths

• The methodology is formally established with a semiparametric efficiency bound.
• Includes a practical application to a Helicobacter pylori infection dataset.
• Released under a permissive CC-BY-4.0 license.

Limitations

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

Provenance

Source

Wenjie Hu via figshare

Collection Method

Theoretical derivation and simulation, applied to an existing infection dataset.

Time Range

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Freshness

Last updated 2026-05-01 14:49:24; freshness should be verified.

Geography

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