Weighted Log-Rank Statistics for Accelerated Failure Time Model

Seung-Hwan Lee
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Seung-Hwan Lee: Department of Mathematics, Illinois Weseyan University, Bloomington, IL 617071, USA

Stats, 2021, vol. 4, issue 2, 1-11

Abstract: This paper improves the sensitivity of the G ρ family of weighted log-rank tests for the accelerated failure time model, accommodating realistic alternatives in survival analysis with censored data, such as heavy censoring and crossing hazards. The procedures are based on a weight function with the censoring proportion incorporated as a component. Extensive simulations show that the weight function enhances the performance of the G ρ family, increasing its sensitivity and flexibility. The weight function method is illustrated with an example concerning vaginal cancer.

Keywords: accelerated failure time; censored data; Kaplan–Meier estimators; log-rank test; two-sample problem (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2021
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