Trim-and-Fill Meta-Analysis Method

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.)

Value

Data frame with trim-and-fill results

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

There are no references for Rd macro \insertAllCites on this help page.

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)
#>     method  estimate standard_error   ci_lower  ci_upper      p_value BF
#> 1 trimfill 0.1774672     0.05366124 0.07229309 0.2826413 0.0009424154 NA
#>   convergence note tau_estimate tau_ci_lower tau_ci_upper tau_p_value k_missing
#> 1        TRUE   NA    0.0877971            0    0.3178726   0.1226888         2
#>   k_missing_se method_setting
#> 1     1.602467        default