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savvyr
View on CRAN: Click
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Download and install savvyr package within the R console
Install from CRAN:
install.packages("savvyr")
Install from Github:
library("remotes")
install_github("cran/savvyr")
Install by package version:
library("remotes")
install_version("savvyr", "0.1.1")
Attach the package and use:
library("savvyr")
Maintained by
Thomas Kuenzel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-20
Latest Update: 2024-02-20
Description:
The SAVVY (Survival Analysis for AdVerse Events with VarYing Follow-Up Times)
project is a consortium of academic and pharmaceutical
industry partners that aims to improve the analyses of adverse event (AE)
data in clinical trials through the use of survival techniques appropriately
dealing with varying follow-up times and competing events, see
Stegherr, Schmoor, Beyersmann, et al. (2021) .
Although statistical methodologies have advanced,
in AE analyses often the incidence proportion, the incidence density or a
non-parametric Kaplan-Meier estimator are used, which either ignore censoring or
competing events. This package contains functions to easily conduct the
proposed improved AE analyses.
How to cite:
Thomas Kuenzel (2024). savvyr: Survival Analysis for AdVerse Events with VarYing Follow-Up Times. R package version 0.1.1, https://cran.r-project.org/web/packages/savvyr
Previous versions and publish date:
0.1.0 (2024-02-20 22:10)
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