作者
Megan Othus, Yi Li
发表日期
2010/12
期刊
Statistics in biosciences
卷号
2
页码范围
154-179
出版商
Springer-Verlag
简介
We consider a Gaussian copula model for multivariate survival times. Estimation of the copula association parameter is easily implemented with existing software using a two-stage estimation procedure. Using the Gaussian copula, we are able to test whether the association parameter is equal to zero. When the association term is positive, the model can be extended to incorporate cluster-level frailty terms. Asymptotic properties are derived under the two-stage estimation scheme. Simulation studies verify finite sample utility. We apply the method to a Children’s Oncology Group multicenter study of acute lymphoblastic leukemia. The analysis estimates marginal treatment effects and examines potential clustering within treatment institution.
学术搜索中的文章
M Othus, Y Li - Statistics in biosciences, 2010
M Othus, Y Li - 2009