Testing additivity in nonparametric regression under random censorship

In this paper, we are concerned with nonparametric estimation of the multivariate regression function in the presence of right censored data. More precisely, we propose a statistic which is shown to be asymptotically normally distributed under the additive assumption, and which could then be used to test for additivity in the multivariate censored regression setting.