ANOVA Results for Fibrosis Simulation Effects on Electrogram Metrics

Figshare hosts a table of statistical test results from Josue Nataren Moran, published in March 2026. It presents one-way ANOVA and Tukey's post-hoc test outcomes for differences in electrogram metrics across fibrosis simulation groups. The data demonstrates the significant effects of fibrosis percentage and morphology on features like EGM duration and deflection count.

Use Cases

• Compare the statistical significance (F-statistic, p-value) of fibrosis percentage effects on EGM duration across different morphologies.
• Analyze Tukey's post-hoc test results to identify which specific fibrosis type pairs (e.g., diffuse vs interstitial) show non-significant differences at fixed percentages.
• Validate simulation models by examining the reported F-statistic ranges (5,562–68,087 for percentage, 16.7–3,064 for type) for electrogram feature variance.

Strengths

• Results include specific F-statistic ranges (5,562–68,087) and p-values (<0.0001) quantifying effect strength.
• Data covers multiple experimental factors: three fibrosis percentages (10%, 35%, 60%) and four morphologies (diffuse, compact, patchy, interstitial).
• Statistical analysis includes both one-way ANOVA and Tukey's post-hoc tests for pairwise comparisons.

Limitations

• The dataset is very small (5.5 KB), containing only summary statistical results, not the raw simulation or electrogram data.
• Sample data and column definitions are unavailable, limiting detailed re-analysis or meta-analysis.
• The temporal and geographic context of the underlying simulations is not provided.

Provenance

Source

Josue Nataren Moran via figshare.

Collection Method

Results from statistical tests performed on differences in metrics from fibrosis simulations.

Time Range

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Freshness

Last updated March 2026.

Geography

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