Pointwise confidence intervals for a survival distribution with small samples or heavy censoring
Pointwise confidence intervals for a survival distribution with small samples or heavy censoring
We propose a beta product confidence procedure (BPCP) that is a non-parametric confidence procedure for the survival curve at a fixed time for right-censored data assuming independent censoring. In such situations, the Kaplan-Meier estimator is typically used with an asymptotic confidence interval (CI) that can have coverage problems when the …