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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

RIS file functions

Functions to load RIS files to data frames and save data frames as RIS files

read_ris_to_dataframe()
Read an RIS file into a data frame
save_dataframe_to_ris()
Write a data frame to a RIS file

Full-text screening

Function to run full-text screening

ftscreen()
Full-text screening with OpenAI API models