  We establish asymptotic normality for estimators of the additive regression
components under random censorship. To build our estimators, we couple the
marginal integration method (Newey (1994)) with an initial Inverse Probability
of Censoring Weighted estimator of the multivariate censored regression
function introduced by Carbonez et al. (1995) and Kohler et al. (2002).
Asymptotic confidence bands are derived from our result.
