Testing Equality of Survival Functions Based on Both Paired and Unpaired Censored Data

DOI10.1111/j.0006-341X.2000.00154.xzbMath1060.62593WikidataQ30592946 ScholiaQ30592946MaRDI QIDQ4668392

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Publication date: 19 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

survival functioncensored datapermutation testgeneralized Wilcoxon statisticpooled rank statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03)

Related Items

Nonparametric confidence intervals for the ratio of marginal hazard rates of paired survival times ⋮ Analyzing survival curves at a fixed point in time for paired and clustered right-censored data ⋮ Efficacy Evaluation Under Type II Censored Plan with Postclassified Samples ⋮ A Class of Permutation Tests for the Equality of Two Marginal Survival Functions Using Paired Censored Data

Cites Work

• Rank tests for bivariate symmetry
• Rank transform statistics with censored data
• Robustness of the Wilcoxon test to a certain dependency between samples
• Nonparametric Estimation from Incomplete Observations
• Asymptotocally nonparametric tests with censored paired data
• Signed-Rank Tests for Censored Matched Pairs
• Rank tests for censored matched pairs
• Rank tests of maximal power against Lehmann-type alternatives
• Linear rank tests with right censored data
• Some Permutation Tests for Survival Data
• Combined Rank Tests for Randomly Censored Paired Data
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples

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