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survRM2perm
View on CRAN: Click
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Download and install survRM2perm package within the R console
Install from CRAN:
install.packages("survRM2perm")
Install from Github:
library("remotes")
install_github("cran/survRM2perm")
Install by package version:
library("remotes")
install_version("survRM2perm", "0.1.0")
Attach the package and use:
library("survRM2perm")
Maintained by
Miki Horiguchi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2020-06-04
Latest Update: 2020-06-04
Description:
Performs the permutation test using difference in the restricted mean survival time (RMST) between groups as a summary measure of the survival time distribution. When the sample size is less than 50 per group, it has been shown that there is non-negligible inflation of the type I error rate in the commonly used asymptotic test for the RMST comparison. Generally, permutation tests can be useful in such a situation. However, when we apply the permutation test for the RMST comparison, particularly in small sample situations, there are some cases where the survival function in either group cannot be defined due to censoring in the permutation process. Horiguchi and Uno (2020) <doi:10.1002/sim.8565> have examined six workable solutions to handle this numerical issue. It performs permutation tests with implementation of the six methods outlined in the paper when the numerical issue arises during the permutation process. The result of the asymptotic test is also provided for a reference.
How to cite:
Miki Horiguchi (2020). survRM2perm: Permutation Test for Comparing Restricted Mean Survival Time. R package version 0.1.0, https://cran.r-project.org/web/packages/survRM2perm
Previous versions and publish date:
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Functions, R codes and Examples using
the survRM2perm R package
Some associated functions: print.rmst2perm . rmst2perm . rmst2perm.sample.data . survRM2perm-package .
Some associated R codes: func_hidden.R . rmst2perm.R . rmst2perm.sample.data.R . survRM2perm-package.R . Full survRM2perm package functions and examples
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