A Bayesian analysis of generalized latent curve mixture models
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香港中文大學研究人員

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摘要Latent curve models for longitudinal data have received increasing attention in medical, educational, psychological, and behavioral sciences. In these applied areas of research, heterogeneous longitudinal data are common. This paper proposes the use of generalized latent curve models for analyzing heterogenous longitudinal data. The basic model features a mixture of trajectories. It also employs a multinomial logit model for assessing the influence of fixed covariates and explanatory latent variables on the class membership probability within the mixture model. This broad class of models also handles non-normal data from the exponential family distributions. A Bayesian approach is implemented for data analysis. We report a simulation study that proves the satisfactory performance of the proposed approach. Furthermore, we analyzed a real data set extracted from the National Longitudinal Survey of Youth to illustrate the practical value of the proposed model and methodology.
著者Pan JH, Song XY, Ip EH
期刊名稱Statistics and Its Interface
出版年份2013
月份1
日期1
卷號6
期次1
出版社International Press
頁次27 - 44
國際標準期刊號1938-7989
電子國際標準期刊號1938-7997
語言英式英語
關鍵詞Heterogeneous longitudinal data; Latent curve mixture models; Markov chain Monte Carlo method; Modified deviance information criterion
Web of Science 學科類別Mathematical & Computational Biology; MATHEMATICAL & COMPUTATIONAL BIOLOGY; Mathematics; Mathematics, Interdisciplinary Applications; MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

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