Monte carlo results for conditional survival tests under randomly censored data

Abstract

Within a Monte Carlo study finite sample results are obtained for different generalized rank tests based on randomly censored life time data. It is pointed out that conditional tests should be applied in practice whenever drastic differences between the censoring distributions for the underlying groups do not appear. The tests are slight modifications of known permutation tests for censored data.

Keywords:

• Conditional rank tests
• survival analysis
• censored data
• log-rank test
• Gehan-Wilcoxon test
• Monte Carlo results