70 citations · 100 across the 11 of their papers we have counts for
8 papers · 1 filter
Copula based dependent censoring in cure models with covariates
Morine Delhelle, Anouar El Ghouch, Ingrid Van Keilegom
In survival analysis, the time-to-event variable T is frequently subject to right censoring. Individuals may withdraw from the study for various reasons, or may not experience the…
Copula based dependent censoring in cure models
Morine Delhelle, Ingrid Van Keilegom
In this paper we consider a time-to-event variable that is subject to random right censoring, and we assume that the censoring time is stochastically dependent on and t…
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
Ana López-Cheda, Ricardo Cao, M. Amalia Jácome +1
A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estim…
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
Ana López-Cheda, M. Amalia Jácome, Ingrid Van Keilegom +1
In lifetime data, like cancer studies, theremay be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not app…
Testing for sufficient follow-up in censored survival data by using extremes
Ping Xie, Mikael Escobar-Bach, Ingrid Van Keilegom
In survival analysis, it often happens that some individuals, referred to as cured individuals, never experience the event of interest. When analyzing time-to-event data with a cur…
Comparison of Quantile Regression Curves with Censored Data
Lorenzo Tedesco, Ingrid Van Keilegom
This paper proposes a new test for the comparison of conditional quantile curves when the outcome of interest, typically a duration, is subject to right censoring. The test can be…