Combined test versus logrank/Cox test in 50 randomised trials

@inproceedings{Royston2019CombinedTV,
  title={Combined test versus logrank/Cox test in 50 randomised trials},
  author={Patrick Royston and Babak Choodari-Oskooei and Mahesh K B Parmar and Jennifer Kathleen Rogers},
  booktitle={Trials},
  year={2019}
}
BACKGROUND The logrank test and the Cox proportional hazards model are routinely applied in the design and analysis of randomised controlled trials (RCTs) with time-to-event outcomes. Usually, sample size and power calculations assume proportional hazards (PH) of the treatment effect, i.e. the hazard ratio is constant over the entire follow-up period. If the PH assumption fails, the power of the logrank/Cox test may be reduced, sometimes severely. It is, therefore, important to understand how… CONTINUE READING
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