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A general additive-multiplicative rates model for recurrent event data 被引量:5
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作者 DAI JiaJia sun liuquan YANG ZhenHai 《Science China Mathematics》 SCIE 2009年第10期2257-2265,共9页
In this article, we propose a general additive-multiplicative rates model for recurrent event data. The proposed model includes the additive rates and multiplicative rates models as special cases. For the inference on... In this article, we propose a general additive-multiplicative rates model for recurrent event data. The proposed model includes the additive rates and multiplicative rates models as special cases. For the inference on the model parameters, estimating equation approaches are developed, and asymptotic properties of the proposed estimators are established through modern empirical process theory. In addition, an illustration with multiple-infection data from a clinic study on chronic granulomatous disease is provided. 展开更多
关键词 recurrent event marginal model counting process generalized estimating equation 62G05 62N01
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An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random 被引量:2
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作者 YE Peng sun liuquan +1 位作者 ZHAO XingQiu XU Wei 《Science China Mathematics》 SCIE CSCD 2015年第6期1163-1178,共16页
Multivariate recurrent event data arises when study subjects may experience more than one type of recurrent events. In some situations, however, although event times are always observed, event categories may be partia... Multivariate recurrent event data arises when study subjects may experience more than one type of recurrent events. In some situations, however, although event times are always observed, event categories may be partially missing. In this paper, an additive-multiplicative rates model is proposed for the analysis of multivariate recurrent event data when event categories are missing at random. A weighted estimating equations approach is developed for parameter estimation, and the resulting estimators are shown to be consistent and asymptotically normal. In addition, a model-checking technique is presented to assess the adequacy of the model. Simulation studies are conducted to evaluate the finite sample behavior of the proposed estimators, and an application to a platelet transfusion reaction study is provided. 展开更多
关键词 additive-multiplicative rates model missing data multivariate recurrent events semiparametricmodel weighted estimating equation
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An Additive Hazards Model for Clustered Recurrent Gap Times 被引量:2
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作者 KANG Fangyuan sun liuquan CHENG Ximing 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2018年第5期1377-1390,共14页
In this article, clustered recurrent gap time is investigated. A marginal additive haz- ards model is proposed without specifying the association of the individuals within the same cluster. The relationship among the ... In this article, clustered recurrent gap time is investigated. A marginal additive haz- ards model is proposed without specifying the association of the individuals within the same cluster. The relationship among the gap times for the same individual is also left unspecified. An estimating equation-based inference procedure is developed for the model parameters, and the asymptotic proper- ties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease (CGD) is illustrated. 展开更多
关键词 Additive hazards model CLUSTER gap time model checking recurrent event
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Estimating Cumulative Treatment Effect Under an Additive Hazards Model
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作者 LU Xiaoliang ZHANG Baoxue sun liuquan 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2021年第2期724-734,共11页
In clinical and epidemiologic studies of time to event,the treatment effect is often of direct interest,and the treatment effect is not constant over time.In this paper,the authors propose an estimator for the cumulat... In clinical and epidemiologic studies of time to event,the treatment effect is often of direct interest,and the treatment effect is not constant over time.In this paper,the authors propose an estimator for the cumulative hazard difference under a stratified additive hazards model.The asymptotic properties of the resulting estimator are established,and the finite-sample properties are examined through simulation studies.An application to a liver cirrhosis data set from the Copenhagen Study Group for Liver Diseases is provided. 展开更多
关键词 Additive hazards model cumulative hazards survival data time-dependent effect
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Time-varying latent model for longitudinal data with informative observation and terminal event times
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作者 PEI YanBo DU Ting sun liuquan 《Science China Mathematics》 SCIE CSCD 2016年第12期2393-2410,共18页
Longitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparamet... Longitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparametric mixed effect model with time-varying latent effects in the analysis of longitudinal data with informative observation times and a dependent terminal event. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is provided. 展开更多
关键词 estimating equations informative observation times joint modeling longitudinal data terminal event time-varying effect
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