摘要
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.
作者
刘君娥
黄宏宏
LIU Jun'e;HUANG Honghong(School of Economics and Management,Huaibei Normal University,Huaibei 235000,Anhui,China;Anhui Big-Data Research Center on University Management,Huaibei 235000,Anhui,China;C&C Trucks Co.Ltd.,Wuhu 241009,Anhui,China)
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2021年第5期441-451,共11页
Journal of Wuhan University:Natural Science Edition
基金
安徽省高等学校自然科学研究重点项目(KJ2018A0390)。
