[Five methods for the estimation of confidence intervals on survival rate]

Descriptive analysis on medical follow-up data often involves estimation of survival rates, such as Kaplan-Meier product limit estimator or life table survival rate for small or large scale data sets, respectively. Five methods for estimating the confidence intervals (CI) of survival rates were described. These methods for estimation of intervals were the classic (based on Greenwood's formula), correctness, arcsine transformation, log (-log) transformation and logit transformation. Two examples were described in detailed for the calculation of 95% confidence intervals.