Pairwise Post-Hoc Comparison Results with Effect Sizes and Confidence Intervals

All pairwise post-hoc comparison results (FDR-corrected) for simulation outputs and geometric metrics. The dataset includes Cohen’s d effect sizes and 95% confidence intervals. It was authored by José Alonso Solís-Lemus and last updated on June 2, 2026.

Use Cases

• Identify statistically significant differences between groups based on FDR-corrected p-values.
• Interpret the magnitude of differences between groups using Cohen’s d effect sizes.
• Assess the precision of effect size estimates using the provided 95% confidence intervals.
• Validate simulation models by comparing output metrics across different conditions or parameters.

Strengths

• Includes statistical metrics essential for rigorous comparison: Cohen’s d effect sizes and 95% confidence intervals.
• Results are corrected for multiple comparisons using the False Discovery Rate (FDR) method.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse with attribution.

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 for large-scale analyses.

Provenance

Source

José Alonso Solís-Lemus via figshare

Collection Method

Likely generated from statistical analysis of simulation outputs.

Freshness

Last updated 2026-06-02 17:40:00; freshness should be verified.