4 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
Survival Estimation for Missing not at Random Censoring Indicators based on Copula Models
Mikael Escobar-Bach, Olivier Goudet
In the presence of right-censored data with covariates, the conditional Kaplan-Meier estimator (also known as the Beran estimator) consistently estimates the conditional survival f…
Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up
Mikael Escobar-Bach, Ingrid Van Keilegom
When analyzing time-to-event data, it often happens that some subjects do not experience the event of interest. Survival models that take this feature into account (called `cure mo…
Non-parametric cure rate estimation under insufficient follow-up using extremes
Mikael Escobar-Bach, Ingrid Van Keilegom
An important research topic in survival analysis is related to the modeling and estimation of the cure rate, i.e. the proportion of subjects that will never experience the event of…
Transportation cost-information and concentration inequalities for bifurcating Markov chains
Siméon Valère Bitseki Penda, Mikael Escobar-Bach, Arnaud Guillin
We investigate the transportation cost-information inequalities for bifurcating Markov chains which are a class of processes indexed by binary tree. These processes provide models…