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

Seung-Hwan Lee and Eun-Joo Lee
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Seung-Hwan Lee: Illinois Wesleyan University, USA
Eun-Joo Lee: Millikin University, USA

European Journal of Mathematics and Statistics, 2022, vol. 3, issue 1, 51-58

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.

Keywords: Censored data; Kaplan-Meier estimator; Log-rank test; Survival distribution; Weighted Kaplan-Meier statistics (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejmath:v:3:y:2022:i:1:id:14093

DOI: 10.24018/ejmath.2022.3.1.93

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