P. Bacchetti and M. R. Segal, Survival trees with time-dependent covariates: Application to estimating changes in the incubation period of AIDS, Lifetime Data Analysis, vol.77, issue.1, pp.35-47, 1995.
DOI : 10.1007/BF00985256

R. Beran, Nonparametric regression with randomly censored survival data, 1981.

D. Bitouzé, B. Laurent, P. Massart, and . Dvoretzky-kiefer-wolfowitz-type-inequality-for-the-kaplan-meier-estimator, A Dvoretzky??????Kiefer??????Wolfowitz type inequality for the Kaplan??????Meier estimator, Annales de l'Institut Henri Poincare (B) Probability and Statistics, vol.35, issue.6, pp.735-763, 1999.
DOI : 10.1016/S0246-0203(99)00112-0

I. Bou-hamad, D. Larocque, and H. Ben-ameur, A review of survival trees, Statistics Surveys, vol.5, issue.0, pp.44-71, 2011.
DOI : 10.1214/09-SS047

L. Breiman, J. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees, 1984.

P. Chaudhuri, Asymptotic consistency of median regression trees, Journal of Statistical Planning and Inference, vol.91, issue.2, pp.229-238, 2000.
DOI : 10.1016/S0378-3758(00)00180-4

P. Chaudhuri and W. Loh, Nonparametric estimation of conditional quantiles using quantile regression trees, Bernoulli, vol.8, issue.5, pp.561-576, 2002.

A. Ciampi, A. Negassa, and Z. Lou, Tree-structured prediction for censored survival data and the cox model, Journal of Clinical Epidemiology, vol.48, issue.5, pp.675-689, 1995.
DOI : 10.1016/0895-4356(94)00164-L

M. Dorota and . Dabrowska, Uniform consistency of the kernel conditional

R. M. Dudley, Uniform Central Limit Theorems, Cambridge Studies in Advanced Mathematics, 1999.

S. Dudoit, M. J. Van-der-laan, S. Keles, A. Molinaro, S. E. Sinisi et al., Lossbased estimation with cross-validation: Applications to microarray data analysis and motif finding, 2003.

U. Einmahl and D. M. Mason, An empirical process approach to the uniform consistency of kernel-type function estimators

U. Einmahl and D. M. Mason, Uniform in bandwidth consistency of kernel-type function estimators, The Annals of Statistics, vol.33, issue.3, pp.1380-1403, 2005.
DOI : 10.1214/009053605000000129

J. Fan, M. E. Nunn, and X. Su, Multivariate exponential survival trees and their application to tooth prognosis, Computational Statistics & Data Analysis, vol.53, issue.4, pp.1110-1121, 2009.
DOI : 10.1016/j.csda.2008.10.019

A. Gannoun, J. Saracco, A. Yuan, and G. E. Bonney, Nonparametric quantile regression with censored data. Scand, J. Statist, vol.32, issue.4

F. Gao, A. K. Manatunga, and S. Chen, Identification of prognostic factors with multivariate survival data, Computational Statistics & Data Analysis, vol.45, issue.4, pp.813-824, 2004.
DOI : 10.1016/S0167-9473(03)00089-6

S. Gey and E. Nedelec, Model Selection for CART Regression Trees, IEEE Transactions on Information Theory, vol.51, issue.2, pp.658-670, 2005.
DOI : 10.1109/TIT.2004.840903
URL : https://hal.archives-ouvertes.fr/hal-00326549

C. Heuchenne and I. Van-keilegom, Estimation in nonparametric location-scale regression models with censored data, Annals of the Institute of Statistical Mathematics, vol.125, issue.3, pp.439-463, 2010.
DOI : 10.1007/s10463-009-0219-3

C. Heuchenne and I. Van-keilegom, Goodness-of-fit tests for the error distribution in nonparametric regression, Computational Statistics & Data Analysis, vol.54, issue.8, p.54
DOI : 10.1016/j.csda.2010.02.010

E. L. Kaplan and P. Meier, Nonparametric estimation from incomplete observations
DOI : 10.1007/978-1-4612-4380-9_25

O. Lopez, Nonparametric Estimation of the Multivariate Distribution Function in a Censored Regression Model with Applications, Communications in Statistics - Theory and Methods, vol.9, issue.15, pp.2639-2660, 2011.
DOI : 10.1023/A:1003166728321
URL : https://hal.archives-ouvertes.fr/hal-00476218

O. Lopez, V. Patilea, and I. Van-keilegom, Single index regression models in the presence of censoring depending on the covariates, Bernoulli, vol.19, issue.3, pp.721-747, 2013.
DOI : 10.3150/12-BEJ464
URL : https://hal.archives-ouvertes.fr/hal-00644892

N. Meinshausen, Forest Garrote, Electronic Journal of Statistics, vol.3, issue.0, pp.1288-1304, 2009.
DOI : 10.1214/09-EJS434

A. M. Molinaro, S. Dudoit, and M. J. Van-der-laan, Tree-based multivariate regression and density estimation with right-censored data, Journal of Multivariate Analysis, vol.90, issue.1, pp.154-177, 2004.
DOI : 10.1016/j.jmva.2004.02.003

W. Olbricht, Tree-based methods: a useful tool for life insurance, European Actuarial Journal, vol.30, issue.2, pp.129-147, 2012.
DOI : 10.1007/s13385-012-0045-5

C. Sánchez-sellero, W. González-manteiga, and I. Van-keilegom, Uniform representation of product-limit integrals with applications. Scand, J. Statist, vol.32, issue.4, pp.563-581, 2005.

A. Glen, S. Satten, and . Datta, The Kaplan-Meier estimator as an inverse-probability-of-censoring weighted average, Amer. Statist, vol.55, issue.3, pp.207-210, 2001.

W. Stute and J. Wang, The Strong Law under Random Censorship, The Annals of Statistics, vol.21, issue.3, pp.1591-1607, 1993.
DOI : 10.1214/aos/1176349273

W. Stute, Consistent Estimation Under Random Censorship When Covariables Are Present, Journal of Multivariate Analysis, vol.45, issue.1, pp.89-103, 1993.
DOI : 10.1006/jmva.1993.1028
URL : http://doi.org/10.1006/jmva.1993.1028

W. Stute, Nonlinear censored regression, Statist. Sinica, vol.9, issue.4, pp.1089-1102, 1999.

M. Talagrand, Sharper bounds for Gaussian and empirical pro- cesses
DOI : 10.1214/aop/1176988847

J. Mark, J. M. Van-der-laan, and . Robins, Unified methods for censored longitudinal data and causality

M. J. Van-der-laan and S. Dudoit, Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilon-net estimator: Finite sample oracle inequalities and examples, 2003.

M. J. Van-der-laan, S. Dudoit, A. W. Van, and . Vaart, The cross-validated adaptive epsilon-net estimator, Statistics and Decisions, vol.24, pp.373-395, 2006.

W. Aad, . Van, J. A. Vaart, and . Wellner, Weak convergence and empirical processes with applications to statistics. Springer Series in Statistics, 1996.

A. W. Van and . Vaart, Asymptotic statistics. Cambridge Series in Statistical and Probabilistic Mathematics, 1998.

I. Van-keilegom and M. G. Akritas, Transfer of tail information in censored regression models, Ann. Statist, vol.27, issue.5, pp.1745-1784, 1999.

J. Huixia, L. Wang, and . Wang, Locally weighted censored quantile regression, JASA, vol.104, issue.487, pp.1117-1128, 2009.

A. Wey, L. Wang, and K. Rudser, Censored quantile regression with recursive partitioning-based weights, Biostatistics, vol.15, issue.1, pp.170-181, 2014.
DOI : 10.1093/biostatistics/kxt027
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3862210