A study was conducted on likelihood-based confidence intervals for functions of the cumulative hazard A(.) and the survival function S(.). Two extensions fo the likelihood, namely, a binomial extension and a Poisson extension, are considered. Both methods perform better than other methods based on the asymptotic normality of the estimator. However, choosing the optimal extension is difficult.