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Tests for comparison of competing risks under the additive risk model
- Source :
-
Journal of Statistical Planning & Inference . Apr2013, Vol. 143 Issue 4, p842-851. 10p. - Publication Year :
- 2013
-
Abstract
- 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 03783758
- Volume :
- 143
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of Statistical Planning & Inference
- Publication Type :
- Academic Journal
- Accession number :
- 84477764
- Full Text :
- https://doi.org/10.1016/j.jspi.2012.10.011