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Lookup NU author(s): Professor Hongsheng DaiORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
It is a very common problem to test survival equality using the right-censored time-to-event data in clinical research. Although the log-rank test is popularly used in various studies, it may become insensitive when the proportional hazards assumption is violated. As follows, there have a variety of statistical methods being proposed to identify the discrepancy between crossing survival curves or hazard functions. The omnibus tests against general alternatives are usually preferred due to their wide applicability to complicated scenarios in real applications. In this paper, we propose two novel statistics to estimate the ball divergence using the right-censored survival data, and then implement them in the equality test on survival time in two independent groups.The simulation analysis demonstrates their efficiency in identifying the survival discrepancy. Compared to the existing methods, our proposed methods present higher power in situations with complex distributions, especially when there is a scale shift between groups. Real examples illustrate its advantage in practical applications.
Author(s): You Na, He Xueyi, Dai Hongsheng, Wang Xueqin
Publication type: Article
Publication status: Published
Journal: Statistics in medicine
Year: 2023
Volume: 42
Issue: 29
Pages: 5353-5368
Print publication date: 20/12/2023
Online publication date: 26/09/2023
Acceptance date: 11/09/2023
Date deposited: 13/09/2023
ISSN (print): 0277-6715
ISSN (electronic): 1097-0258
Publisher: John Wiley & Sons Ltd.
URL: https://doi.org/10.1002/sim.9914
DOI: 10.1002/sim.9914
ePrints DOI: 10.57711/94ea-g784
Data Access Statement: The 18 reconstructed datasets that support the findings of this study were kindly shared from Dr. Ina Dormuth, TU Dortmund University. Our proposed method was implemented as R package SurvBD, and publicly available at https://github.com/scrcss/SurvBD.
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