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On the restricted mean survival time curve in survival analysis
Author(s) -
Zhao Lihui,
Claggett Brian,
Tian Lu,
Uno Hajime,
Pfeffer Marc A.,
Solomon Scott D.,
Trippa Lorenzo,
Wei L. J.
Publication year - 2016
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/biom.12384
Subject(s) - survival analysis , inference , time point , survival function , equivalence (formal languages) , mathematics , confidence interval , statistics , function (biology) , population , medicine , econometrics , computer science , artificial intelligence , discrete mathematics , biology , philosophy , environmental health , evolutionary biology , aesthetics
Summary For a study with an event time as the endpoint, its survival function contains all the information regarding the temporal, stochastic profile of this outcome variable. The survival probability at a specific time point, say t , however, does not transparently capture the temporal profile of this endpoint up to t . An alternative is to use the restricted mean survival time (RMST) at time t to summarize the profile. The RMST is the mean survival time of all subjects in the study population followed up to t , and is simply the area under the survival curve up to t . The advantages of using such a quantification over the survival rate have been discussed in the setting of a fixed‐time analysis. In this article, we generalize this approach by considering a curve based on the RMST over time as an alternative summary to the survival function. Inference, for instance, based on simultaneous confidence bands for a single RMST curve and also the difference between two RMST curves are proposed. The latter is informative for evaluating two groups under an equivalence or noninferiority setting, and quantifies the difference of two groups in a time scale. The proposal is illustrated with the data from two clinical trials, one from oncology and the other from cardiology.