Testing Equality of Survival Functions Based on Both Paired and Unpaired Censored Data
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Publication:4668392
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)
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03)
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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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