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Non-inferiority trials with time-to-event data: clarifying the impact of censoring
Jaeun Choi1, Xiaonan Xue1, Mimi Kim1
1Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York, USA.
Abstract:
In non-inferiority (NI) trials with time-to-event data, different types and patterns of censoring may occur, but their impact on trial results is not entirely clear. We investigated the influence of informative and non-informative censoring by conducting extensive simulation studies under the assumption that the NI margin is defined as a maximum acceptable hazard ratio and scenarios typically observed in recent NI trials. We found that while non-informative censoring tends to only affect the power, informative censoring can impact the treatment effect estimates, type I error rate, and power. The magnitude of these effects depends on the between-group differences in the failure and informative censoring risks, as well as the correlation between censoring and failure times, among other factors. The adverse impact of informative censoring was generally decreased with larger NI margins.
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