prepare_absolute_risk_exp_adj.Rd
Prepare Forest plot data for exposure-adjusted rates
data frame for specified type of analysis
forest_plot_src <- subset(effects_table, !is.na(Rate_Type))
forest_plot_data <- prepare_absolute_risk_exp_adj(
forest_plot_src,
"Y",
"Calculated"
)
#> [2024-08-28 08:20:51] >
#> CI for treatment difference in exposure-adjusted rates
#> is calculated and saved in a dataframe
#> [2024-08-28 08:20:51] > Prepare Forest plot data for exposure-adjusted rates
head(forest_plot_data)
#> treatment type factor outcome diff se
#> 1 Drug A Binary Risk Reoccurring AE EventRate -0.720 0.027928480
#> 2 Drug A Binary Risk Rare SAE IncRate -0.299 0.017349352
#> 3 Drug A Binary Risk Liver IncRate -0.014 0.004000000
#> 4 Drug B Binary Risk Reoccurring AE EventRate -0.320 0.019493589
#> 5 Drug B Binary Risk Rare SAE IncRate -0.299 0.017349352
#> 6 Drug B Binary Risk Liver IncRate -0.010 0.003162278
#> lower upper group
#> 1 -0.77473882 -0.665261185 1
#> 2 -0.33300410 -0.264995896 2
#> 3 -0.02183986 -0.006160144 3
#> 4 -0.35820673 -0.281793268 4
#> 5 -0.33300410 -0.264995896 5
#> 6 -0.01619795 -0.003802050 6