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savvyr  

Survival Analysis for AdVerse Events with VarYing Follow-Up Times
View on CRAN: Click here


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", "0.1.2")



Attach the package and use:
library("savvyr")
Maintained by
Thomas Kuenzel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-20
Latest Update: 2025-05-08
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 0.1.2, https://cran.r-project.org/web/packages/savvyr. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.0 (2024-02-20 22:10), 0.1.1 (2024-06-10 11:50)
Other packages that cited savvyr R package
View savvyr citation profile
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Complete documentation for savvyr
Functions, R codes and Examples using the savvyr R package
Full savvyr package functions and examples
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