A comparative study to alternatives to the log-rank test.

Autor: Dormuth I; Department of Statistics, TU Dortmund University, Dortmund, Germany. Electronic address: ina.dormuth@tu-dortmund.de., Liu T; Technion - Israel Institute of Technology, Haifa, Israel., Xu J; East China Normal University, Shanghai, China., Pauly M; Department of Statistics, TU Dortmund University, Dortmund, Germany; Research Center Trustworthy Data Science and Security, UA Ruhr, Dortmund, Germany., Ditzhaus M; Department of Mathematics, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Jazyk: angličtina
Zdroj: Contemporary clinical trials [Contemp Clin Trials] 2023 May; Vol. 128, pp. 107165. Date of Electronic Publication: 2023 Mar 25.
DOI: 10.1016/j.cct.2023.107165
Abstrakt: Background: Studies to compare the survival of two or more groups using time-to-event data are of high importance in medical research. The gold standard is the log-rank test, which is optimal under proportional hazards. As the latter is no simple regularity assumption, we are interested in evaluating the power of various statistical tests under different settings including proportional and non-proportional hazards with a special emphasis on crossing hazards. This challenge has been going on for many years now and multiple methods have already been investigated in extensive simulation studies. However, in recent years new omnibus tests and methods based on the restricted mean survival time appeared that have been strongly recommended in biometric literature.
Methods: Thus, to give updated recommendations, we perform a vast simulation study to compare tests that showed high power in previous studies with these more recent approaches. We thereby analyze various simulation settings with varying survival and censoring distributions, unequal censoring between groups, small sample sizes and unbalanced group sizes.
Results: Overall, omnibus tests are more robust in terms of power against deviations from the proportional hazards assumption.
Conclusion: We recommend considering the more robust omnibus approaches for group comparison in case of uncertainty about the underlying survival time distributions.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier Inc.)
Databáze: MEDLINE
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