K-sample omnibus non-proportional hazards tests based on right-censored data

@article{Gorfine2020KsampleON,
  title={K-sample omnibus non-proportional hazards tests based on right-censored data},
  author={Malka Gorfine and Matan Schlesinger and Li Hsu},
  journal={Statistical Methods in Medical Research},
  year={2020},
  volume={29},
  pages={2830 - 2850}
}
This work presents novel and powerful tests for comparing non-proportional hazard functions, based on sample–space partitions. Right censoring introduces two major difficulties, which make the existing sample–space partition tests for uncensored data non-applicable: (i) the actual event times of censored observations are unknown and (ii) the standard permutation procedure is invalid in case the censoring distributions of the groups are unequal. We overcome these two obstacles, introduce… 

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