prepare_absolute_risk_data.Rd
Prepare Forest plot data for absolute risk
data frame for specified type of analysis
forest_plot_src <- subset(effects_table, !is.na(Prop1))
forest_plot_data <- prepare_absolute_risk_data(
forest_plot_src,
"Y",
"Calculated"
)
#> [2024-08-28 08:20:51] >
#> absolute risk CI for binary outcomes is calculated and saved
#> [2024-08-28 08:20:51] > Prepare Forest plot data for absolute risk
head(forest_plot_data)
#> treatment factor type outcome diff se lower
#> 1 Drug A Benefit Binary Primary Efficacy -0.410 0.017201744 -0.443714799
#> 2 Drug A Risk Binary Reoccurring AE -0.160 0.013527749 -0.186513901
#> 3 Drug A Risk Binary Rare SAE -0.013 0.004095241 -0.021026525
#> 4 Drug A Risk Binary Liver -0.003 0.002232263 -0.007375156
#> 5 Drug B Benefit Binary Primary Efficacy -0.140 0.014710540 -0.168832129
#> 6 Drug B Risk Binary Reoccurring AE -0.170 0.012549900 -0.194597353
#> upper group
#> 1 -0.376285201 1
#> 2 -0.133486099 2
#> 3 -0.004973475 3
#> 4 0.001375156 4
#> 5 -0.111167871 5
#> 6 -0.145402647 6