Package index • VIVECampbell

Effect size calculation for binary outcomes

Functions for caclulating effect sizes and sampling variances from binary outcomes

OR_calc(): Calculate and cluster bias adjust odds ratios (OR)

Cluster-bias correction

Functions for caclulating effect sizes and sampling variances from cluster-designed studies

df_h(): Degrees of freedom calculation for cluster bias correction for standardized mean differences

Cluster-bias correction when there is clustering in one treatment group only

Functions for caclulating effect sizes and sampling variances from cluster-designed studies when there is clustering in one treatment group only

vgt_smd_1armcluster(): Variance calculation when there is clustering in one treatment group only

df_h_1armcluster(): Degrees of freedom calculation for cluster bias correction when there is clustering in one treatment group only

eta_1armcluster(): Calculating the design effect to cluster bias adjusted sampling variances when there is clustering in one treatment group only

gamma_1armcluster(): Small number of clusters correction when there is clustering in one treatment group only

Sensitivity analysis

Functions to conduct sensitivity analyses in meta-analysis

map_rho_impact(): Conduct sensitivity analyses across various values of the assumed sample correlation on the overall average effect in the CHE-RVE model

plot_rho_impact(): Plotting the impact of the assumed sampling correlation on the overall average effect size estimate

plot_rho_impact(<map_rho>): Plotting the impact of the assumed sampling correlation on the overall average effect size estimate

Datasets

Data from Systematic Reviews from the VIVE Campbell group

Dietrichson2021_data: Targeted school-based interventions data (K-6)

fadeout: Fadeout data