Meta-Analysis of Nonaffirmative Studies (MAN) Method

Implements standard meta-analysis of only the nonaffirmative studies (MAN) which can serve as a sensitivity analysis for worst-case meta-analytic point estimate for maximal publication bias under the selection model. effects of p-hacking and publication bias in meta-analysis. See Mathur and VanderWeele (2020) for details.

Usage

# S3 method for class 'MAN'
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 MAN results

Details

The following settings are implemented

"default"

MAN with affirmative results defined by positive direction favor_positive = TRUE and statistical significance alpha_select = 0.05

References

Mathur MB, VanderWeele TJ (2020). “Sensitivity analysis for publication bias in meta-analyses.” Journal of the Royal Statistical Society Series C: Applied Statistics, 69(5), 1091–1119. doi:10.1111/rssc.12440 .

Author

Frantisek Bartos f.bartos96@gmail.com

Examples

# \donttest{
# Generate some example data with at least one nonaffirmative study
data <- data.frame(
  yi = c(0.20, 0.30, 0.10, -0.05, 0.12),
  sei = c(0.10, 0.15, 0.08, 0.12, 0.09)
)

# Apply MAN method
result <- run_method("MAN", data)
print(result)
#>   method   estimate standard_error    ci_lower  ci_upper   p_value BF
#> 1    MAN 0.07723757     0.03661896 -0.09989418 0.2543693 0.1844874 NA
#>   convergence note tau_estimate k_nonaffirmative method_setting
#> 1       FALSE   NA            0                3        default
# }