A goodness-of-fit test for association in a bivariate survival model
二元生存模型中关联结构的拟合优度检验
We propose a simple test of constant conditional hazard ratio in the Clayton model (1978) by comparing the unweighted and weighted concordance estimators of the association parameter. If the Clayton model holds, the difference of these two estimates converges to zero. The proposed test is consistent against alternatives under which the two concordance estimators converge to different values. We derive an explicit formula for the asymptotic variance and derive the asymptotic…