K-sample tests based on survival analysis with interval-censored data
The nonparametric tests are introduced and provides a new method to compare survival functions among groups when the data are interval-censored. The k-sample test for interval censored is studied. Many k-sample tests have been developed when data are uncensored or right censored. The main characte...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ILRAM Publisher
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6271/ http://irep.iium.edu.my/6271/ http://irep.iium.edu.my/6271/1/K-sample_tetsts_based_on_survival_analysis_with_interval-_-censored_data.pdf |
| Summary: | The nonparametric tests are introduced and provides a new method to compare survival functions among groups
when the data are interval-censored. The k-sample test for interval censored is studied. Many k-sample tests
have been developed when data are uncensored or right censored. The main characteristic of this paper is the
permutational distributions of survival analysis with interval-censored data The difficulty of finding the
distribution of the test statistic is avoided with this permutational approach. The permutational methodology will
be introduced and provides description of the permutational Wilcoxon and Log-rank tests for interval-censored
data. A likelihood approach for this new proposal is also considered. The relationship given by Fay (1999)
betWeen permutational methods and likelihood methods based on score test statistics will be extended. It was
found that the permutational approach requires that the censoring mechanisms are identical across the groups. |
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