Tests for comparison of competing risks under the additive risk model |
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Authors: | Yichuan Zhao Duytrac Nguyen |
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Institution: | 1. Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA;2. Department of Statistics, PharmaNet/i3, 225 South East Street, Suite 200, Indianapolis, IN 46202, USA |
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Abstract: | It is of interest that researchers study competing risks in which subjects may fail from any one of k causes. Comparing any two competing risks with covariate effects is very important in medical studies. In this paper, we develop tests for comparing cause-specific hazard rates and cumulative incidence functions at specified covariate levels under the additive risk model by a weighted difference of estimates of cumulative cause-specific hazard rates. Motivated by McKeague et al. (2001), we construct simultaneous confidence bands for the difference of two conditional cumulative incidence functions as a useful graphical tool. In addition, we conduct a simulation study, and the simulation result shows that the proposed procedure has a good finite sample performance. A melanoma data set in clinical trial is used for the purpose of illustration. |
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Keywords: | Additive risk model Cumulative incidence function Confidence bands Competing risks |
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