method.PETPEESE: PET-PEESE (Precision-Effect Test and Precision-Effect...

In PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods

PET-PEESE (Precision-Effect Test and Precision-Effect Estimate with Standard Errors) Method

Description

Implements the Precision-Effect Test and Precision-Effect Estimate with Standard Errors (PET-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 'PETPEESE'
method(method_name, data, settings)

Arguments

method_name	Method name (automatically passed)
data	Data frame with yi (effect sizes) and sei (standard errors)
settings	List of method settings (see Details)

Details

The following settings are implemented

"default"

(conditional_alpha = 0.10) determines whether to use PET (PET's effect is not significant at alpha = 0.10 or PEESE estimate (PET's effect is significant at alpha = 0.10)

Value

Data frame with PET-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 PETPEESE method
result <- run_method("PETPEESE", data)
print(result)

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