… do not have user-friendly and standalone R packages on CRAN or GitHub. The main reason
is … Competing risks data analysis with highdimensional covariates: An application in bladder …

… interval-censored competing risks (LT-ICC) data. To reduce the … In the competing risks setting,
often the major interest lies in … analysis literature, there are many approaches that are used …

… data from a two-arm randomised controlled trial on rectal cancer therapy, we demonstrate
how survival analysis … log-likelihood from the model object of the timereg package and thus do …

… We used “mstate” packages available in CRAN R to simulate survival … the sample size in
both wings of competing risk events, thereby making the analysis more meaningful. A simulation …

… devoted to the analysis long-term insolvency risk, known as … Finally, Section 1.6 makes a
review of existing R packages … As we will later see in Section 5.1, competing risk models will …

… for the analysis of cure rate data with competing risks using … models for the analysis of
competing risks data subjected to … data of 205 patients which is available in R package ‘timereg…

… , we carry out such an analysis of the separate causes, using competing risks methodology
… “timereg”: Flexible regression models for survival data. R package version 1.9.4. Available …

… of existing studies on prepayment and default (competing risk). This review enables to shed
light … as competing risks. Several authors have employed competing risk methods to analyse …

… Analyzing competing risk data using the R timereg package.  … study sites, 20 and analyses
of cardiovascular mortality accounted for the competing risk of noncardiovascular mortality. …

… make use, to train the neural network, of the classical Cox partial likelihood and base their
analysis on the proportional hazard … We use the R package Timereg and the Python package …