FDR-Adjusted Results for Threshold Effect Analyses

1.7 KB of statistical results from linear and segmented regression analyses. The table provides raw p-values, FDR-adjusted q-values, and log-likelihood ratio test results for nonlinearity, authored by Shuang Deng and last updated on 2026-04-29. It indicates significant and suggestive nonlinearity based on q < 0.05 and p < 0.05 thresholds.

Use Cases

• Assessing statistical significance of nonlinear relationships based on FDR-adjusted q-values.
• Comparing linear and segmented regression model fits using the provided log-likelihood ratio test.
• Identifying threshold points in data where relationships change, as suggested by the segmented regression results.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is precisely 1.7 KB, indicating a compact and focused dataset.
• Includes both raw p-values and FDR-adjusted q-values for rigorous multiple testing correction.

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

Freshness

Last updated 2026-04-29 17:34:15; freshness should be verified.