scholarly journals Regression splines in the time-dependent coefficient rates model for recurrent event data

2008 ◽  
Vol 27 (28) ◽  
pp. 5890-5906 ◽  
Author(s):  
Leila D. Amorim ◽  
Jianwen Cai ◽  
Donglin Zeng ◽  
Maurício L. Barreto
2021 ◽  
Vol 30 (10) ◽  
pp. 2239-2255
Author(s):  
Tianmeng Lyu ◽  
Xianghua Luo ◽  
Chiung-Yu Huang ◽  
Yifei Sun

Various regression methods have been proposed for analyzing recurrent event data. Among them, the semiparametric additive rates model is particularly appealing because the regression coefficients quantify the absolute difference in the occurrence rate of the recurrent events between different groups. Estimation of the additive rates model requires the values of time-dependent covariates being observed throughout the entire follow-up period. In practice, however, the time-dependent covariates are usually only measured at intermittent follow-up visits. In this paper, we propose to kernel smooth functions involving time-dependent covariates across subjects in the estimating function, as opposed to imputing individual covariate trajectories. Simulation studies show that the proposed method outperforms simple imputation methods. The proposed method is illustrated with data from an epidemiologic study of the effect of streptococcal infections on recurrent pharyngitis episodes.


Biometrics ◽  
2019 ◽  
Vol 76 (2) ◽  
pp. 448-459 ◽  
Author(s):  
Lili Wang ◽  
Kevin He ◽  
Douglas E. Schaubel

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