Assessment of Data Trial Distributions According to the Carlisle-Stouffer Method

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) .


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install.packages("simdistr")

1.0.1 by Bernardo Sousa-Pinto, 7 years ago


Browse source code at https://github.com/cran/simdistr


Authors: Bernardo Sousa-Pinto [aut, cre] , Joao Julio Cerqueira [ctb] , Cristina Costa-Santos [ctb] , John B Carlisle [ctb] , John A Loadsman [ctb] , Armando Teixeira-Pinto [aut] , Hernani Goncalves [aut]


Documentation:   PDF Manual  


GPL-2 license



See at CRAN