savvyr
Survival Analysis for AdVerse Events with VarYing Follow-Up Times
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) doi:10.1186/s13063-021-05354-x. 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.
- Version0.1.1
- R version≥ 4.0
- LicenseApache License 2.0
- Needs compilation?No
- Languageen-US
- Last release06/10/2024
Documentation
Team
Thomas Kuenzel
Kaspar Rufibach
Show author detailsRolesAuthorDaniel Sabanés Bové
Show author detailsRolesAuthorF. Hoffmann-La Roche AG
Show author detailsRolesCopyright holder, fndRegina Stegherr
Show author detailsRolesAuthorUniversität Ulm
Show author detailsRolesCopyright holder, fnd
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- Imports3 packages
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