Sensitivity Analysis for Correlated Effects RVE
sensitivity is used to assess the impact of differing rho values on
the correlated effects meta-regression model.
sensitivity(x)
x |
A dataframe containing values of rho, tau squared, coefficient estimates, and standard errors. |
Hedges, L.V., Tipton, E., Johnson, M.C. (2010) Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods. 1(1): 39–65. Erratum in 1(2): 164–165. DOI: 10.1002/jrsm.5
Tipton, E. (in press) Small sample adjustments for robust variance estimation with meta-regression. Psychological Methods.
# Correlated Effects Model
CorrMod <- robu(formula = effectsize ~ followup + males + binge + college,
data = corrdat, studynum = studyid, var.eff.size = var,
rho = .8, modelweights = "CORR", small = FALSE)
sensitivity(CorrMod) # Output sensitivityPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.