This R package contains the function to apply MARMoT balancing technique; furthermore, it contains a function for computing the Deloof’s approximation of the average rank (and also a parallelized version) and a function to compute the Absolute Standardized Bias.
You can install the development version of MARMoT like so:
This is a basic example of the function “MARMoT”:
library(MARMoT)
out = MARMoT(data = MARMoT_data, confounders = c("race", "age"), treatment = "hospital", n.cores = 1)
#> [1] "Absolute standardized bias - before balancing"
#> Min 1st quartile Median 3rd quartile Max Mean
#> 0.010 2.875 6.859 12.027 50.700 8.667
#> Over 5% Over 10%
#> 214.000 118.000
#> [1] "... Computing average rank ..."
#> [1] "... Balancing ..."
#> [1] "Absolute standardized bias - after balancing"
#> Min 1st quartile Median 3rd quartile Max Mean
#> 0.132 0.138 0.412 0.570 43.302 1.055
#> Over 5% Over 10%
#> 23.000 4.000This package was developed within the project funded by Next Generation EU - “Age-It - Ageing well in an agening society” project (PE0000015), National Recovery and Resilience Plan (NRRP) - PE8 - Mission 4, C2, Intervention 1.3”. The views and opinions expressed are only those of the authors and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.