Fixed Effects Meta-Analysis Method

Implements the publication bias-unadjusted fixed effects meta-analysis.

Usage

# S3 method for class 'FMA'
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 FMA results

Details

The following settings are implemented

"default"

T-distribution adjustment (test = "t") and cluster robust standard errors with small-sample adjustment (if converged, otherwise no small-sample adjustment or no cluster robust standard errors) for fixed effects meta-analysis if study_ids is specified in the data

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 FMA method
result <- run_method("FMA", data)
print(result)
#>   method  estimate standard_error   ci_lower  ci_upper     p_value BF
#> 1    FMA 0.2179928     0.04501055 0.09302349 0.3429621 0.008380921 NA
#>   convergence note tau_p_value method_setting
#> 1        TRUE   NA   0.2941821        default