PublicationBiasBenchmark (version 0.1.3)

method.trimfill: 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 trimfill
method(method_name, data, settings)

Value

Data frame with trim-and-fill results

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").

References

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)