Package: savvyr 0.1.1

Thomas Kuenzel

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.

Authors:Thomas Kuenzel [aut, cre], Kaspar Rufibach [aut], Regina Stegherr [aut], Daniel Sabanés Bové [aut], F. Hoffmann-La Roche AG [cph, fnd], Universität Ulm [cph, fnd]

savvyr_0.1.1.tar.gz
savvyr_0.1.1.zip(r-4.5)savvyr_0.1.1.zip(r-4.4)savvyr_0.1.1.zip(r-4.3)
savvyr_0.1.1.tgz(r-4.4-any)savvyr_0.1.1.tgz(r-4.3-any)
savvyr_0.1.1.tar.gz(r-4.5-noble)savvyr_0.1.1.tar.gz(r-4.4-noble)
savvyr_0.1.1.tgz(r-4.4-emscripten)savvyr_0.1.1.tgz(r-4.3-emscripten)
savvyr.pdf |savvyr.html
savvyr/json (API)
NEWS

# Install 'savvyr' in R:
install.packages('savvyr', repos = c('https://openpharma.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/openpharma/savvyr/issues

On CRAN:

5.60 score 4 stars 1 scripts 132 downloads 6 exports 11 dependencies

Last updated 6 months agofrom:904eebf8b7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:aalen_johansengenerate_datainc_propone_minus_kaplan_meierprop_trans_inc_densprop_trans_inc_dens_ce

Dependencies:backportscheckmatedata.tableetmlatticeMatrixrbibutilsRcppRcppArmadilloRdpacksurvival

Introduction to savvyr

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-02-16
Started: 2024-02-16