Estimation on conditional restricted mean survival time with counting process

In traditional survival analyses, hazard ratio (HR) is commonly used to evaluate treatment effects. However, HR may not be easy to interpret. Restricted mean survival time is a viable alternative to HR, particularly when the proportional hazards assumption is not satisfied. We developed a conditiona...

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Bibliographic Details
Published in:Journal of biopharmaceutical statistics 2019-09, Vol.29 (5), p.800-809
Main Authors: Qiu, Junshan, Gu, Ennan, Zhou, Dali, Lawrence, John, Bai, Steven, Hung, Hsien Ming J.
Format: Article
Language:English
Subjects:
proportional hazard
Restricted mean survival time
survival analyses
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Summary:In traditional survival analyses, hazard ratio (HR) is commonly used to evaluate treatment effects. However, HR may not be easy to interpret. Restricted mean survival time is a viable alternative to HR, particularly when the proportional hazards assumption is not satisfied. We developed a conditional restricted mean survival time (CRMST) estimator for a time interval of interest using counting process. The variance of CRMST was estimated using a perturbation re-sampling method for asymptotic normality. The utility of our CRMST seems promising based on comprehensive simulation studies and a real data case study.
ISSN:1054-3406
1520-5711
DOI:10.1080/10543406.2019.1657129