  We introduce novel wild bootstrap procedures for testing superiority in
unpaired two-sample survival data. By combining different classical weighted
logrank test we obtain tests with broader power behavior. Right censoring
within the data is allowed and may differ between the groups. The tests are
shown to be asymptotically exact under the null, consistent for fixed
alternatives and admissible for a larger set of local alternatives. Beside
these asymptotic properties we also illustrate the procedures' strength in
simulations for finite sample sizes. The tests are implemented in the novel
R-package mdir.logrank and its application is demonstrated in an exemplary data
analysis.
