  Weighted logrank tests are a popular tool for analyzing right censored
survival data from two independent samples. Each of these tests is optimal
against a certain hazard alternative, for example the classical logrank test
for proportional hazards. But which weight function should be used in practical
applications? We address this question by a flexible combination idea leading
to a testing procedure with broader power. Beside the test's asymptotic
exactness and consistency its power behaviour under local alternatives is
derived. All theoretical properties can be transferred to a permutation version
of the test, which is even finitely exact under exchangeability and showed a
better finite sample performance in our simulation study. The procedure is
illustrated in a real data example.
