基于FGM Copula 函数刻画二元相依生存数据的相关关系, B 样条函数拟合边际基本危险函数,
建议半参数二元相依生存模型, 相比较于全参数模型, 其更为灵活柔性, 适应范围更广 …

In this article, we propose a bivariate long-term distribution based on the Farlie-Gumbel-
Morgenstern copula model. The proposed model allows for the presence of censored data …

Copulas are bevariate distributions with uniform marginals. They provide a general method
for binding several univariate marginal distributions together to form a multivariate …

Copula models have become increasingly popular for modelling the dependence structure
in multivariate survival data. The two-parameter Archimedean family of Power Variance …

Copula is a popular method for modeling the dependence among marginal distributions in
multivariate censored data. As many copula models are available, it is essential to check if …

We provide ways to test the fit of a parametric copula family for bivariate censored data with
or without covariates. The proposed copula family is tested by embedding it in an expanded …

Objective: Modeling dependence structure of a bivariate survival data is one of the main
issues in biomedical studies. Survival copula deals with such a lifetime data and is used for …

为研究边际生存函数是半参数加法危险率模型的多维生存时间相关性随某个指标的变化,
提出一类变联结参数copula 模型. 采用二阶段估计法来研究生存时间之间的动态相关结构 …

In this dissertation we solve the nonidentifiability problem of Archimedean copula models
based on dependent censored data (see [Wang, 2012]). We give a set of identifiability …

Bivariate or multivariate survival data arise when a sample consists of clusters of two or
more subjects which are correlated. This paper considers clustered bivariate survival data …