method.PEESE: PEESE (Precision-Effect Estimate with Standard Errors) Method

In PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods

PEESE (Precision-Effect Estimate with Standard Errors) Method

Description

Implements the Precision-Effect Estimate with Standard Errors method for publication bias correction. PEESE regresses effect sizes against standard errors^2 to correct for publication bias. The intercept represents the bias-corrected effect size estimate. See \insertCitestanley2014meta;textualPublicationBiasBenchmark for details.

Usage

## S3 method for class 'PEESE'
method(method_name, data, settings = NULL)

Arguments

method_name	Method name (automatically passed)
data	Data frame with yi (effect sizes) and sei (standard errors)
settings	List of method settings (no settings version are implemented)

Value

Data frame with PEESE results

Author(s)

František Bartoš [e-mail]

References

\insertAllCited

Examples

# Generate some example data
data <- data.frame(
  yi = c(0.2, 0.3, 0.1, 0.4, 0.25),
  sei = c(0.1, 0.15, 0.08, 0.12, 0.09)
)

# Apply PEESE method
result <- run_method("PEESE", data)
print(result)

PublicationBiasBenchmark documentation built on March 16, 2026, 5:07 p.m.