ROC Curve Analyses for Passive Heat Exposure in Mouse Models

Orlando Laitano published source data and analyses for receiver operating characteristic (ROC) curve evaluation of Passive Heat Exposure in mice. The dataset includes individual core temperature measurements, ROC curve analyses, area under the curve calculations, sensitivity and specificity values, and optimal cut-off thresholds. It supports findings from the manuscript 'Impaired Passive Thermoregulatory Response Following Exertional Heat Stroke and Endotoxemia in Mice.'

Use Cases

• Evaluate diagnostic performance of core temperature thresholds based on ROC curve analyses.
• Calculate optimal cut-off points for discriminating prior exertional heat stroke exposure based on Youden's index.
• Compare sensitivity and specificity of a biomarker across different inflammatory conditions.
• Validate statistical methods for determining area under the curve in biomedical research.

Strengths

• Dataset includes multiple derived statistical metrics: ROC curves, AUC, sensitivity, specificity, and Youden's index.
• Data is directly linked to a specific published manuscript, providing clear research context.
• License is CC-BY-4.0, allowing for open reuse and modification.

Limitations

• Dataset is very small at 46.9 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains experimental measurements from mouse models of exertional heat stroke and systemic inflammation.

Freshness

Last updated 2026-05-30 14:32:50; freshness should be verified.