The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach
用隐马尔可夫模型分析初级和二级护理使用中的动态关系，发现存在低、中、高三种用户类型，其行为有持续性但也会切换。
Summary This paper develops an extension of the class of finite mixture models for longitudinal count data to the bivariate case by using a hidden Markov chain approach. The model allows for disentangling unobservable time‐varying heterogeneity from the dynamic effect of utilisation of primary and secondary care and measuring their potential substitution effect. Three points of supports adequately describe the distribution of the latent states suggesting the existence of three profiles of low, medium and high users who shows persistency in their behaviour, but not permanence as some switch to their neighbour's profile.