diff --git a/DESCRIPTION b/DESCRIPTION index 7acaa79..8606c5c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Type: Package Package: savvyr -Title: Survival Analysis for AdVerse Events with VarYing Follow-Up Times in R +Title: Survival Analysis for AdVerse Events with VarYing Follow-Up Times Version: 0.1.0 -Date: 2023-06-06 +Date: 2024-02-20 Authors@R: c( person("Thomas", "Kuenzel", email = "thomas.kuenzel@roche.com", role = c("aut", "cre")), person("Kaspar", "Rufibach", email = "kaspar.rufibach@roche.com", role = "aut"), @@ -11,7 +11,8 @@ Authors@R: c( person("F. Hoffmann-La Roche AG", role = c("cph", "fnd")), person("Universität Ulm", role = c("cph", "fnd")) ) -Description: The SAVVY project is a consortium of academic and pharmaceutical +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 diff --git a/man/savvyr-package.Rd b/man/savvyr-package.Rd index da5ddb3..17d3055 100644 --- a/man/savvyr-package.Rd +++ b/man/savvyr-package.Rd @@ -4,11 +4,11 @@ \name{savvyr-package} \alias{savvyr} \alias{savvyr-package} -\title{savvyr: Survival Analysis for AdVerse Events with VarYing Follow-Up Times in R} +\title{savvyr: Survival Analysis for AdVerse Events with VarYing Follow-Up Times} \description{ \if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}} -The SAVVY 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. +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. } \seealso{ Useful links: