| Literature DB >> 11315053 |
Abstract
In the context of competing risks, the cumulative incidence function is often used to summarize the cause-specific failure-time data. As an alternative to the proportional hazards model, the additive risk model is used to investigate covariate effects by specifying that the subject-specific hazard function is the sum of a baseline hazard function and a regression function of covariates. Based on such a formulation, we present an approach to constructing simultaneous confidence intervals for the cause-specific cumulative incidence function of patients with given risk factors. A melanoma data set is used for the purpose of illustration.Entities:
Mesh:
Year: 1999 PMID: 11315053 DOI: 10.1111/j.0006-341x.1999.01093.x
Source DB: PubMed Journal: Biometrics ISSN: 0006-341X Impact factor: 2.571