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Modifying Weighted Kaplan-Meier Test for Two-Sample Survival Comparison

Author

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  • Seung-Hwan Lee

    (Illinois Wesleyan University, USA)

  • Eun-Joo Lee

    (Millikin University, USA)

Abstract

This paper presents an approach to improving the weighted Kaplan-Meier test statistics in order to make it a more useful tool for a long-term comparison of two underlying survival distributions in the presence of right-censored data. The procedures are based on the use of some weight function that involves the percentage of censored data as a component. Some versatile procedures for the alternative, not pre-specified, are also discussed. Numerical simulations are conducted to investigate the performance of the proposed procedures. For illustration, the procedures are applied to real-world data in clinical trials, where patients with tongue cancer are divided into two groups according to tumor DNA.

Suggested Citation

Handle: RePEc:epw:ejmath:v:3:y:2022:i:1:id:14093
DOI: 10.24018/ejmath.2022.3.1.93
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