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

In PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods

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 \insertCitestanley2017finding;textualPublicationBiasBenchmark for details.

Usage

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

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)

Value

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

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