1,000 bootstrap iterations were used to validate threshold estimates (K) for variables with nonlinear associations. The data, in a 1.3 KB CSV file, includes the linear effect, original K, segment-specific odds ratios, likelihood ratio test p-value, bootstrap mean K, and the 95% confidence interval of K. It was authored by Shuang Deng and last updated on April 29, 2026.
Use Cases
- Validate statistical thresholds based on bootstrap confidence intervals mentioned in the description
- Assess the stability of nonlinear association estimates using the bootstrap mean K
- Compare segment-specific odds ratios for variables with identified thresholds
Strengths
- Validation is based on 1,000 bootstrap iterations, providing a robust resampling foundation.
- Includes key statistical outputs like 95% confidence intervals and likelihood ratio test p-values.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small at 1.3 KB, indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Bootstrap validation of threshold estimates.
- Freshness
- Last updated 2026-04-29 17:34:17; freshness should be verified.