sensitivity: Sensitivity Analysis for Correlated Effects RVE

In robumeta: Robust Variance Meta-Regression

Sensitivity Analysis for Correlated Effects RVE

Description

sensitivity is used to assess the impact of differing rho values on the correlated effects meta-regression model.

Usage

sensitivity(x)

Arguments

x	A dataframe containing values of rho, tau squared, coefficient estimates, and standard errors.

References

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.

Examples

# 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 sensitivity

robumeta documentation built on March 31, 2023, 11:48 p.m.