广义case-cohort设计下多类型事件数据的加乘风险回归模型及其应用

Additive-Multiplicative Hazards Model for Generalized Case-Cohort Designs with Multiple Type Event Data and Its Application

针对广义case-cohort设计下多类型事件数据的边际加乘风险模型,利用逆概率加权的思想建立加权估计方程,证明参数估计的相合性和大样本性质。数值模拟试验结果表明广义case-cohort设计在疾病事件发生率较高时更加具有应用性。实例分析展示了其理论意义和应用价值。

Using the idea of inverse probability weighting,we first give a weighted estimating equation for an additive-multiplicative hazards model under generalized case-cohort designs with multiple type event data in this paper.The resulting estimators are shown to be consistent and asymptotically normal.Some numerical simulation experiments show that the generalized case-cohort designs is applicable when the incidence of disease is high.Finally,a real example is illustrated to show its theoretical significance and application value.