  We discuss a new way of constructing pointwise confidence intervals for the
distribution function in the current status model. The confidence intervals are
based on the smoothed maximum likelihood estimator (SMLE) and constructed using
bootstrap methods. Other methods to construct confidence intervals, using the
non-standard limit distribution of the (restricted) MLE, are compared to our
approach via simulations and real data applications.
