Z-Curve Analysis Applications and Simulations for Research Credibility

A collection of data and simulation results from a review of 37 articles reporting 278 Z-curve analysis applications. The dataset was created by Jolynn Pek and last updated in April 2026. It includes files for analysis, such as Excel spreadsheets and R scripts, totaling 10.9 MB.

Use Cases

• Analyze the distribution of p-values from 278 Z-curve applications to study patterns of statistical significance.
• Replicate simulation results demonstrating bias and inconsistency in Z-curve estimators.
• Review the reported Expected Discovery Rate (EDR) metrics across different studies to assess methodological claims.
• Examine the frequency of conclusions about publication bias (77.3% of reviewed applications) relative to study characteristics.

Strengths

• Includes data from a systematic review of 37 articles and 278 specific Z-curve applications.
• Provides simulation code in R to validate the statistical properties of Z-curve estimators.
• Dataset is openly licensed under CC-BY-4.0 for reuse and verification.

Limitations

• The 10.9 MB size indicates a small dataset, likely containing summary statistics and code rather than extensive raw data.
• Specific row counts and column schemas for the underlying tabular data are not provided in the description.
• The review notes potential issues in the source studies, such as 69.1% possibly violating the assumption of independent p-values.

Provenance

Source

Jolynn Pek, via figshare.

Collection Method

Systematic review of published literature reporting Z-curve applications, supplemented by statistical simulations.

Freshness

Last updated on 2026-04-06.