Distributional Regression for Time to Event Data
Description
Semiparametric distributional regression methods (expectile,
quantile and mode regression) for time-to-event variables with
right-censoring; uses inverse probability of censoring weights or
accelerated failure time models with auxiliary likelihoods. Expectile
regression using inverse probability of censoring weights has been
introduced in Seipp et al. (2021) ``Weighted Expectile Regression for
Right-Censored Data'' , mode regression for
time-to-event variables has been introduced in Seipp et al. (2022)
``Flexible Semiparametric Mode Regression for Time-to-Event Data''
.