影响因子：1.588
所属单位：数学与统计学院
教研室：统计教研室
发表刊物：Lifetime Data Analysis
关键字：Additive hazard model, Corrected estimating equations, Current status data, Factor analysis
摘要：Current status data occur in many fields including demographical, epidemiological, financial, medical, and sociological studies. We consider the regression analysis of current status data with latent variables. The proposed model consists of a factor analytic model for characterizing latent variables through their multiple surrogates and an additive hazard model for examining potential covariate effects on the hazards of interest in the presence of current status data. We develop a borrow-strength estimation procedure that incorporates the expectation–maximization algorithm and correlated estimating equations. The consistency and asymptotic normality of the proposed estimators are established. A simulation study is conducted to evaluate the finite sample performance of the proposed method. A real-life study on the chronic kidney disease of type 2 diabetic patients is presented.
论文类型：期刊论文
卷号：27
期号：3
页面范围：413–436
是否译文：否
发表时间：2021-03-14
收录刊物：SCI