Parasite Prevalence Model Comparisons Using Leave-One-Out Cross-Validation

A dataset from figshare updated on June 4, 2026, containing model fit comparisons for parasite prevalence models. It ranks three model types—intercept-only, age-sex fixed effects, and age-sex interaction models—using expected log predictive density (ELPD) metrics. The data was authored by Stephanie M. Wu and is shared under a CC-BY-4.0 license.

Use Cases

• Ranking statistical model performance based on expected log predictive density (ELPD) differences.
• Comparing the fit of intercept-only models versus models with demographic fixed effects.
• Assessing the impact of including interaction terms (age-sex) on model predictive accuracy.
• Calculating standard errors for model comparison metrics to gauge uncertainty.

Strengths

• Provides direct model comparison metrics (ELPD Diff) for three distinct model specifications.
• Includes standard error estimates (SE Diff) for the reported differences, quantifying uncertainty.
• Shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 11.1 KB file size suggests a very limited scope, likely containing summary statistics rather than raw data.

Provenance

Source

figshare

Freshness

Last updated 2026-06-04 17:40:20; freshness should be verified.