Comparison of cumulative incidence functions of current status competing risks data with discrete observation times
Communications in Statistics - Theory and Methods
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).
Sreedevi, Engakkattu Purushothaman; Sankaran, Paduthol Godan; and Dewan, Isha, "Comparison of cumulative incidence functions of current status competing risks data with discrete observation times" (2019). Journal Articles. 567.