<p>Average PIPs for 15 exposures and a binary outcome, with both component-wise and hierar

9.5 KB of simulation results comparing variable selection methods for Bayesian models. Kaizong Ye published this Excel file on figshare in May 2026. It contains average Posterior Inclusion Probabilities (PIPs) for 15 exposures under a non-linear main effects model.

Use Cases

• Benchmarking component-wise variable selection performance based on the described simulation
• Comparing hierarchical variable selection methods based on the described simulation
• Evaluating modified probit BART models based on the described simulation
• Evaluating probit BKMR models based on the described simulation
• Studying variable importance in non-linear main effects models based on the described simulation

Strengths

• File size is precisely 9.5 KB, indicating a compact and focused dataset.
• The dataset has a clear, specific purpose: comparing average PIPs for two Bayesian methods.
• It is licensed under CC-BY-4.0, allowing for open sharing and reuse.

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

Likely generated via statistical simulation, as implied by the description of a 'true relationship' model.

Freshness

Last updated 2026-05-11 17:51:49; freshness should be verified.