Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
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Nonpararmetric estimation for interval censored competing risk data

  • Kim, Yang-Jin (Department of Statistics, Sookmyung Women's University) ;
  • Kwon, Do young (Department of Statistics, Sookmyung Women's University)
  • 투고 : 2017.07.03
  • 심사 : 2017.07.26
  • 발행 : 2017.07.31
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초록

A competing risk analysis has been applied when subjects experience more than one type of end points. Geskus (2011) showed three types of estimators of CIF are equivalent under left truncated and right censored data. We extend his approach to an interval censored competing risk data by using a modified risk set and evaluate their performance under several sample sizes. These estimators show very similar results. We also suggest a test statistic combining Sun's test for interval censored data and Gray's test for right censored data. The test sizes and powers are compared under several cases. As a real data application, the suggested method is applied a data where the feasibility of the vaccine to HIV was assessed in the injecting drug uses.

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참고문헌

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