GFDsurv - Tests for Survival Data in General Factorial Designs
Implemented are three Wald-type statistic and respective
permuted versions for null hypotheses formulated in terms of
cumulative hazard rate functions, medians and the concordance
measure, respectively, in the general framework of survival
factorial designs with possibly heterogeneous survival and/or
censoring distributions, for crossed designs with an arbitrary
number of factors and nested designs with up to three factors.
Ditzhaus, Dobler and Pauly (2020)
<doi:10.1177/0962280220980784> Ditzhaus, Janssen, Pauly (2020)
<arXiv: 2004.10818v2> Dobler and Pauly (2019)
<doi:10.1177/0962280219831316>.