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| LEADER |
01459nam a2200157Ia 4500 |
| 001 |
10.1093-bioinformatics-btab495 |
| 008 |
220427s2021 CNT 000 0 und d |
| 020 |
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|a 13674803 (ISSN)
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| 245 |
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|a On the stability of log-rank test under labeling errors
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|b Oxford University Press
|c 2021
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1093/bioinformatics/btab495
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|a Motivation: Log-rank test is a widely used test that serves to assess the statistical significance of observed differences in survival, when comparing two or more groups. The log-rank test is based on several assumptions that support the validity of the calculations. It is naturally assumed, implicitly, that no errors occur in the labeling of the samples. That is, the mapping between samples and groups is perfectly correct. In this work, we investigate how test results may be affected when considering some errors in the original labeling. Results: We introduce and define the uncertainty that arises from labeling errors in log-rank test. In order to deal with this uncertainty, we develop a novel algorithm for efficiently calculating a stability interval around the original log-rank P-value and prove its correctness. We demonstrate our algorithm on several datasets. © 2021 The Author(s) 2021. Published by Oxford University Press.
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| 700 |
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|a Galili, B.
|e author
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| 700 |
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|a Samohi, A.
|e author
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| 700 |
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|a Yakhini, Z.
|e author
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| 773 |
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|t Bioinformatics
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