simdistr
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) doi:10.1111/anae.13650.
- Version1.0.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/02/2019
Documentation
Team
- Bernardo Sousa-Pinto
- Joao Julio CerqueiraShow author detailsRolesContributor
- Cristina Costa-SantosShow author detailsRolesContributor
- John B CarlisleShow author detailsRolesContributor
- John A LoadsmanShow author detailsRolesContributor
- Armando Teixeira-PintoShow author detailsRolesAuthor
- Hernani GoncalvesShow author detailsRolesAuthor
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