sensitivity: Sensitivity Analysis for Correlated Effects RVE

Description Usage Arguments References Examples

View source: R/sensitivity.R

Description

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

Usage

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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

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# 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 May 1, 2019, 8:21 p.m.