Single index regression models in the presence of censoring depending on the covariates

Single index regression models in the presence of censoring depending on the covariates

Investigating Smooth Multiple Regression by the Method of

First, we propose a new estimator of the joint distribution of (X',Y)'. This estimator overcomes the common curse-of-dimensionality problem, by using a new dimension reduction technique. Second, we assume that the relation between X and Y is given by a mean regression single index model, and propose a new estimator of the parameters ...read more

 

Single index regression models in the presence of censoring depending

Sep 9, 2015 · Results that advocate local linear regression based on a projection as a nonparametric approach to this problem are presented and asymptotic results demonstrate that functional locallinear regression . O. Lopez, V. Patilea, I. Keilegom ...read more

 

Single index regression models in the presence of censoring depending

The second contribution of this paper is the estimation of a semiparametric single index regression model for the censored response Y given X under assumption (A0).. The proposed ...read more

 

(PDF) Single index regression models in the presence of censoring

PDF 271.52 K Lopez, Olivier [Université Paris VI] Patilea, Valentin [INSA-IRMAR] Van Keilegom, Ingrid [UCL] Consider a random vector (X ′ , Y )′ , where X is d-dimensional and Y is one-dimensional. We assume that Y is subject to random right censoring. The aim of this paper is twofold. ...read more

 

I N S T I T U T D E S T A T I S T I Q U E - ResearchGate

Nov 27, 2011 · Title: Single index regression models in the presence of censoring depending on the covariates Authors: Olivier Lopez (LSTA), Valentin Patilea , Keilegom Ingrid Van Download PDF ...read more

 

Single index regression models in the presence of censoring depending

SINGLE INDEX REGRESSION MODELS IN THE PRESENCE OF CENSORING DEPENDING ON THE COVARIATES LOPEZ, O., We assume that Y issubject to random right censoring. ...read more

 

Single index regression models in the presence of censoring depending

Single index regression models in the presence of censoring depending on the covariates Olivier Lopez, Valentin Patilea, Ingrid Van Keilegom To cite this version: ...read more

 

Single index regression models in the presence of censoring depending

Downloadable (with restrictions)! One attractive advantage of the presented single-index hazards regression is that it can take into account possibly time-dependent covariates. In such a model formulation, the main theme of this research is to develop a theoretically valid and practically feasible estimation procedure for the index coefficients and the induced ...read more

 

Versatile estimation in censored single-index hazards regression

Lopez, Olivier & Patilea, Valentin & Van Keilegom, Ingrid, 2013. " ," LIDAM Reprints ISBA 2013029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA). Handle: RePEc:aiz:louvar:2013029 ...read more

 

Single index regression models in the presence of censoring depending

Nov 27, 2011 · Single index regression models in the presence of censoring depending on the covariates Bernoulli arXiv Authors: Olivier Lopez Sorbonne Université Valentin Patilea ENSAI (Ecole Nationale de la ...read more

 

The importance of censoring in competing risks analysis of the

Apr 4, 2017 · The analysis of time-to-event data can be complicated by competing risks, which are events that alter the probability of, or completely preclude the occurrence of an event of interest. This is distinct from censoring, which merely prevents us from observing the time at which the event of interest occurs. However, the censoring distribution plays ...read more

 

(PDF) Inférence statistique dans des modèles de - ResearchGate

Jun 15, 2021 · In a single-index model, no matter the number of covariates, the curse of dimensionality is avoided because the nonparametric part (link function) is of dimension one. This model was investigated and successfully applied to many objective functions, including the conditional mean and conditional quantiles. ...read more

 

Single-Index Quantile Regression Models for Censored Data

Jul 31, 2020 · To account for dependent censoring, time-varying covariates can be used along with two statistical methods: the inverse probability of censoring weighted (IPCW) Kaplan–Meier estimator and the parametric g-formula estimator. ...read more

 

Doubly robust estimator of risk in the presence of censoring dependent

Nov 16, 2021 · 1 Introduction For right-censored survival data, censored quantile regression is emerging as an attractive alternative to mean-based survival regression models, such as the Cox’s proportional hazards and the accelerated failure time (AFT) models. ...read more