Assessment of Data Trial Distributions According to the
Carlisle-Stouffer Method
Description
Assessment of the distributions of baseline continuous and categorical
variables in randomised trials. This method is based on the Carlisle-Stouffer
method with Monte Carlo simulations. It calculates p-values for each trial
baseline variable, as well as combined p-values for each trial - these p-values
measure how compatible are distributions of trials baseline variables with
random sampling. This package also allows for graphically plotting the
cumulative frequencies of computed p-values.
Please note that code was partly adapted from Carlisle JB, Loadsman JA.
(2017) .