… The package timereg provides semiparametric estimators for a whole class of models that
… for semiparametric regression analysis of interval-censored competing risks data is the R …

… analysis of lung cancer trial data, we faced a challenge to work with repeatedly measured
survival data having competing risk … The dedicated R packages like mstate and timereg are …

… The package timereg provides tools for flexible regression … In our competing risks analysis
in Section 4.2, the variable … Therefore, we will exclude it from the competing risks analysis …

… R function is provided to perform regularized competing risks regression according to the
binomial model in the package timereg … proper analysis would require modeling the competing …

… analysis of competing risk data. Our Bayesian justification is the first such development in the
DTR context with competing risk data… feasible with R through mstate and timereg packages. …

… -scale competing risks data. We have developed an R package, fastcmprsk, that uses a
novel … The fastcmprsk package provides a set of scalable tools for the analysis of large-scale …

… with the SDH ratio for competing risks data. The proposed sDiff … and can be considered in
real data analysis and trial design. … used measures in the present competing risks data analysis …

… the Bayesian analysis. The packages (timereg, cmprsk, mstate) in R software are used for
… The competing risks data are analyzed using overall hazard rate functions and conditional …

… function in timereg package For continuous time-varying effects: stcox with tvc() texp() …
Failure to account for the competing risks in the analysis would result in overestimation of the risk. …

… We compare our method with the Fine and Gray estimates from R package “timereg” in terms
of bias, RMSE, CI coverage and CI length. The Fine and Gray estimates are in red and our …