method.trimfill: Trim-and-Fill Meta-Analysis Method

In PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods

Trim-and-Fill Meta-Analysis Method

Description

Implements the trim-and-fill method for adjusting publication bias in meta-analysis using the metafor package.

Usage

## S3 method for class 'trimfill'
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"

Random effects model fitted with Restricted Maximum Likelihood estimator (method = "REML") with Knapp-Hartung adjustment (test = "knha"), followed by trim-and-fill using left-side trimming (side = "left") and L0 estimator (estimator = "L0").

Value

Data frame with trim-and-fill 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 trimfill method
result <- run_method("trimfill", data)
print(result)

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