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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 2.10) |
| Published: |
2019-08-02 |
| DOI: |
10.32614/CRAN.package.simdistr |
| Author: |
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] |
| Maintainer: |
Bernardo Sousa-Pinto <bernardo at med.up.pt> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
simdistr results |
Documentation:
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