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Analysis of longitudinal and survival data: Joint modeling,inference methods,and issues
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نویسنده
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wu l. ,liu w. ,yi g.y. ,huang y.
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منبع
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journal of probability and statistics - 2012 - شماره : 0
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چکیده
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In the past two decades,joint models of longitudinal and survival data have received much attention in the literature. these models are often desirable in the following situations: (i) survival models with measurement errors or missing data in time-dependent covariates,(ii) longitudinal models with informative dropouts,and (iii) a survival process and a longitudinal process are associated via latent variables. in these cases,separate inferences based on the longitudinal model and the survival model may lead to biased or inefficient results. in this paper,we provide a brief overview of joint models for longitudinal and survival data and commonly used methods,including the likelihood method and two-stage methods. © 2012 lang wu et al.
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آدرس
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department of statistics,university of british columbia,vancouver, Canada, department of mathematics and statistics,york university,toronto, Canada, department of statistics and actuarial science,university of waterloo,waterloo, Canada, department of epidemiology and biostatistics,college of public health,university of south florida,tampa, United States
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Authors
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