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Stats, Volume 3, Issue 2
2020 June - 6 articles
Cover Story: Restricted mean survival time (RMST) is experiencing a renaissance and is advocated as a model-free, easy-to-interpret alternative to proportional hazard regression. Estimation of RMST and associated variance is mainly done by numerical integration of Kaplan–Meier curves. Pseudo-observations and the flexible parametric survival method are the two main alternatives to the Kaplan–Meier method. Flexible parametric survival methods outperform efficacy-wise both competitors, but the differences are small to negligible. RMST estimation and associated variance can be done with any of the three methods depending on the needs and aims of the researchers. The Kaplan–Meier method is the easiest to implement, flexible parametric survival models are the most powerful, while pseudo-observations allow for adjustment for relevant co-variates. View this paper.
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Stats - ISSN 2571-905X