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  • 标题:Weighted Two-sample Test for Comparing Subdistribution Function of a Competing Risk
  • 本地全文:下载
  • 作者:Abdul Kudus ; Noor Akma Ibrahim
  • 期刊名称:Statistika
  • 印刷版ISSN:1411-5891
  • 出版年度:2005
  • 卷号:5
  • 期号:1
  • 页码:1-1
  • DOI:10.29313/jstat.v5i1.912
  • 出版社:Universitas Islam Bandung
  • 摘要:The problem of testing for differences between two groups with respect to multiple competing risk time-to-event endpoints is considered A class of two-sample test is proposed for comparing the subdistribution of a particular type of failures. The test is based on comparing the weighted average of subdistribution functions without making any assumption on the nature of dependence among the risks. The weight function has been chosen so that the test is distribution-free in the sense that asymptotically valid test can be performed without assumption regarding the underlying survival and censoring distribution. Both theoretical result and simulation evidence show that the proposed method attains the nominal level. We also apply the test to real data.
  • 关键词:Competing risks;subdistribution function;two-sample statistic
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