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Comparison of cumulative incidence functions of current status competing risks data with discrete observation times

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  • Engakkattu Purushothaman Sreedevi
  • Paduthol Godan Sankaran
  • Isha Dewan

Abstract

Competing risks data with current status censoring arise frequently from transversal studies in demography, epidemiology and reliability theory; where the only information about lifetime is whether the event of interest has occurred or not before a monitoring time. In practice, the monitoring times are discrete, but most of the studies consider them as continuous in nature. In the present paper, we propose a non parametric test for comparing cumulative incidence functions of current status competing risks data while the observation (monitoring) times are discrete. Asymptotic distribution of the test statistic is also derived. A simulation study is conducted to assess the finite sample behavior of the test statistic. The practical utility of the procedure is well demonstrated using a real-life data set on menopausal history of 2423 women given in Jewell, van der Laan, and Henneman (2003).

Suggested Citation

  • Engakkattu Purushothaman Sreedevi & Paduthol Godan Sankaran & Isha Dewan, 2019. "Comparison of cumulative incidence functions of current status competing risks data with discrete observation times," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(23), pages 5766-5776, December.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:23:p:5766-5776
    DOI: 10.1080/03610926.2018.1520887
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