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	Mixture regression for longitudinal data based on joint mean–covariance model Journal article Journal of Multivariate Analysis,2022, volume: 190 Authors: Yu, Jing; Nummi, Tapio; Pan, Jianxin Favorite \| View/Download：41/0 \| Submit date：2022/02/23 Finite mixture models Heterogeneity Joint mean–covariance model Modified Cholesky decomposition Progression trajectory
	Jmcm: An R package for joint mean-covariance modeling of longitudinal data Journal article Journal of Statistical Software,2017, volume: 82, issue: 9, pages: 1-29 Authors: Pan, Jianxin; Pan, Yi Favorite \| View/Download：3/0 \| Submit date：2021/08/16 Cholesky decomposition Covariance matrix estimator Joint mean-covariance models Longitudinal data
	Modelling conditional covariance in the linear mixed model Journal article Statistical Modelling,2007, volume: 7, issue: 1, pages: 49-71 Authors: Pan, Jianxin; MacKenzie, Gilbert Favorite \| View/Download：6/0 \| Submit date：2021/08/16 Cholesky decomposition Conditional covariance EM algorithm Joint mean-covariance models Linear mixed models Longitudinal data
	Regression models for covariance structures in longitudinal studies Journal article Statistical Modelling,2006, volume: 6, issue: 1, pages: 43-57 Authors: Pan, Jianxin; MacKenzie, Gilbert Favorite \| View/Download：4/0 \| Submit date：2021/08/16 Cholesky decomposition Covariate dependent covariance matrix Joint mean-covariance models Longitudinal trials Unbalanced observations Unconstrained parametrization