A weighted log-rank test for comparing two survival curves

DOI10.1515/MCMA-2020-2064zbMath1454.62288OpenAlexW3029907034MaRDI QIDQ2213365

Eun-Joo Lee, Seung-Hwan Lee

Publication date: 1 December 2020

Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/mcma-2020-2064

zbMATH Keywords

proportional hazardscensored datalog-rank testtwo-sample problemsurvival distributionsKaplan-Meier estimators

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Cites Work

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• Central limit theorems for local martingales
• Nonparametric analysis of an accelerated failure time model
• A class of hypothesis tests for one and two sample censored survival data
• Linear rank tests with right censored data
• The Versatility of Function-Indexed Weighted Log-Rank Statistics
• A Class of Weighted Log-Rank Tests for Survival Data When the Event is Rare

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