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20102026
most citedNonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models

70 citations · 200 across the 28 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

econ.EM2022

Instrumental variable quantile regression under random right censoring

Jad Beyhum, Lorenzo Tedesco, Ingrid Van Keilegom

This paper studies a semiparametric quantile regression model with endogenous variables and random right censoring. The endogeneity issue is solved using instrumental variables. It…

econ.EM2022

Testing for homogeneous treatment effects in linear and nonparametric instrumental variable models

Jad Beyhum, Jean-Pierre Florens, Elia Lapenta +1

The hypothesis of homogeneous treatment effects is central to the instrumental variables literature. This assumption signifies that treatment effects are constant across all subjec…

math.ST2022★ 3 cited

An instrumental variable approach under dependent censoring

Gilles Crommen, Jad Beyhum, Ingrid Van Keilegom

This paper considers the problem of inferring the causal effect of a variable on a dependently censored survival time . We allow for unobserved confounding variables, such t…

stat.ME2022

A 2-step estimation procedure for semiparametric mixture cure models

Eni Musta, Valentin Patilea, Ingrid Van Keilegom

Cure models have been developed as an alternative modelling approach to conventional survival analysis in order to account for the presence of cured subjects that will never experi…

math.ST2022★ 1 cited

Instrumental variable estimation of dynamic treatment effects on a duration outcome

Jad Beyhum, Samuele Centorrino, Jean-Pierre Florens +1

This paper considers identification and estimation of the causal effect of the time Z until a subject is treated on a survival outcome T. The treatment is not randomly assigned, T…