A parametric competing risks regression model with unknown dependent censoring
针对生存分析中只关注一种风险且已知其分布信息、但其他风险及风险间依赖关系未知的情况，提出一种无需对边际生存、删失分布或依赖程度施加限制的参数回归模型，应用于就业持续时间数据可避免性别效应估计的显著偏误。
Abstract A typical situation in survival analysis is that there is only interest in one risk and some prior information about its distribution is available. At the same time, other risks are not of interest and no information about risk dependence is available. A parametric regression model with unknown dependent censoring would be suitable here, but existing approaches require restrictions on all marginal survivals, the censoring distribution or the degree of dependence. This article introduces a model without these restrictions. An application to employment duration demonstrates that it avoids sizable bias of the estimated gender effect on employment duration.