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savvyr (version 0.1.1)

Survival Analysis for AdVerse Events with VarYing Follow-Up Times

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.

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Version

Install

install.packages('savvyr')

Monthly Downloads

552

Version

0.1.1

License

Apache License 2.0

Maintainer

Thomas Kuenzel

Last Published

June 10th, 2024

Functions in savvyr (0.1.1)

generate_data

Generate Example Data
inc_prop

Computing the Incidence Proportion
prop_trans_inc_dens_ce

Probability Transform Incidence Density Accounting for Competing Events
one_minus_kaplan_meier

One Minus Kaplan-Meier
aalen_johansen

Aalen Johansen Estimator
prop_trans_inc_dens

Computing the Probability Transform Incidence Density
assert_ae_data

Assertion of Adverse Event Data
savvyr-package

savvyr: Survival Analysis for AdVerse Events with VarYing Follow-Up Times