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Semiparametric Analysis of Longitudinal Data with Informative Observation Times
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作者 Liu-quan Sun Xiao-yun Mu +1 位作者 Zhi-hua Sun Xing-wei Tong 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2011年第1期29-42,共14页
In many longitudinal studies, observation times as well as censoring times may be correlated with longitudinal responses. This paper considers a multiplicative random effects model for the longitudinal response where ... In many longitudinal studies, observation times as well as censoring times may be correlated with longitudinal responses. This paper considers a multiplicative random effects model for the longitudinal response where these correlations may exist and a joint modeling approach is proposed via a shared latent variable. For inference about regression parameters, estimating equation approaches are developed and asymptotic properties of the proposed estimators are established. The finite sample behavior of the methods is examined through simulation studies and an application to a data set from a bladder cancer study is provided for illustration. 展开更多
关键词 Estimating equations informative observation times Joint modeling Latent variables Longitudinal data
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Analyzing Longitudinal Data with Informative Observation and Terminal Event Times
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作者 Rui MIAO Xin CHEN Liu-quan SUN 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第4期1035-1052,共18页
Longitudinal data often arise when subjects are followed over a period of time, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-... Longitudinal data often arise when subjects are followed over a period of time, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. In this article, we propose joint modeling and analysis of longitudinal data with possibly informative observation times and a dependent terminal event in which a common subject-specific latent variable is used to characterize the correlations. A borrow-strength estimation procedure is developed for parameter estimation, and both large-sample and finite^sample properties of the proposed estimators are established. In addition, some goodness-of-fit methods for assessing the adequacy of the model are provided. An application to a bladder cancer study is illustrated. 展开更多
关键词 borrow-strength method frailty model informative observation times joint modeling longitudi-nal data terminal event
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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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