PublicationBiasBenchmark (version 0.1.3)

method.WAAPWLS: WAAPWLS (Weighted Average of Adequately Powered Studies) Method

Description

Implements the WAAP-WLS method for meta-analysis, which combines WLS and WAAP approaches. First fits a WLS model to all studies, then identifies high-powered studies based on the criterion that the WLS estimate divided by 2.8 is greater than or equal to the standard error. If at least 2 high-powered studies are found, uses WAAP (weighted average of adequate power studies only), otherwise uses the original WLS estimate. See stanley2017finding;textualPublicationBiasBenchmark for details.

Usage

# S3 method for WAAPWLS
method(method_name, data, settings = NULL)

Value

Data frame with WAAPWLS results

Arguments

method_name

Method name (automatically passed)

data

Data frame with yi (effect sizes) and sei (standard errors)

settings

List of method settings (no settings version are implemented)

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 WAAPWLS method
result <- run_method("WAAPWLS", data)
print(result)