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Eliminating bias due to censoring in Kendall’s tau estimators for quasi-independence of truncation and failure
While the currently available estimators for the conditional Kendall’s tau measure of association between truncation and failure are valid for testing the null hypothesis of quasi-independence, they are biased when the null does not hold. This is because they converge to quantities that depend on th...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3912250/ https://ncbi.nlm.nih.gov/pubmed/24505164 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2013.11.018 |
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