A new two-sample test for choosing between log-rank and Wilcoxon tests with right-censored data

DOI10.1080/00949655.2014.941533zbMath1457.62300OpenAlexW2003242428MaRDI QIDQ5220911

S. N. Postovalov, Petr Philonenko

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.941533

zbMATH Keywords

Monte Carlo methodWilcoxon testright-censored datalog-rank testtwo-sample problemmaximum value test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Testing in survival analysis and censored data (62N03)

Related Items (2)

The new robust two-sample test for randomly right-censored data ⋮ The limit test statistic distribution of the maximum value test for right-censored data

Cites Work

• A pretest for choosing between logrank and Wilcoxon tests in the two-sample problem
• Weighted Kaplan-Meier Statistics: A Class of Distance Tests for Censored Survival Data
• Nonparametric Estimation from Incomplete Observations
• Rank tests of maximal power against Lehmann-type alternatives
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
• Unnamed Item

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