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RMSTpowerBoost  

Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials
View on CRAN: Click here


Download and install RMSTpowerBoost package within the R console
Install from CRAN:
install.packages("RMSTpowerBoost")

Install from Github:
library("remotes")
install_github("cran/RMSTpowerBoost")

Install by package version:
library("remotes")
install_version("RMSTpowerBoost", "1.0.3")



Attach the package and use:
library("RMSTpowerBoost")
Maintained by
Arnab Aich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-28
Latest Update: 2026-04-28
Description:
Tools for Restricted Mean Survival Time based study design and analysis planning. Provides power and sample size calculations for two-arm studies using direct modeling approaches from the literature, including semiparametric additive models, linear Inverse Probability Weighting based models from Wei (2014) <doi:10.1093/biostatistics/kxt050>, multiplicative stratified models from Wang (2019) <doi:10.1002/sim.8356>, and covariate-dependent censoring methods from Wang (2018) <doi:10.1007/s10985-017-9391-6>.
How to cite:
Arnab Aich (2026). RMSTpowerBoost: Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials. R package version 1.0.3, https://cran.r-project.org/web/packages/RMSTpowerBoost. Accessed 26 Oct. 2026.
Previous versions and publish date:
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Complete documentation for RMSTpowerBoost
Functions, R codes and Examples using the RMSTpowerBoost R package
Full RMSTpowerBoost package functions and examples
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