Latent class model is one of the important latent variable methods for joint modeling longitudinal and survival data. Latent class joint model can handle underlying heterogeneous population, discover subpopulation structure, and incorporate correlated non normally distributed outcomes. The maximum likelihood ...
A joint model based on a latent class approach is proposed to explore the association between correlated longitudinal quantitative markers and a time-to-ev... C Proust-Lima,P Joly,Jean-Franois Dartigues,... - 《Computational Statistics & Data Analysis》 被引量: 130发表: 2009年 Residual Diagnos...
Appendix 1: Model selection In practice, after conducting the MCLE and MLE in joint latent class modeling with fixed K’s, data analysts need to determine the optimal number of latent classes. In the context of joint latent class modeling, a unified model selection strategy that can be applie...
The proposed model easily accommodates highly unbalanced longitudinal data and recurrent events. There are two levels of structure in the latent class joint model. First, the uncertainty of latent class membership is specified through a multinomial logistic model. Second, the class-specific marker ...
A latent process model describes the latent trait of interest and links it to the observed longitudinal outcomes using flexible measurement models adapted to different types of data, and a latent class structure links the longitudinal and the cause-specific survival models. The joint model is ...
An interpretable ML joint with prior latent class clustering is implemented. The significant risk factors and interactions are interpreted using SHAP (SHapley Additive exPlanations) method across clusters. This study utilizes ROR crash records, traffic, and geometric data from main suburban freeways in ...
Joint latent class mixed model A JLCMM consists of three submodels: the linear mixed effects model, the relative risk model and a multinomial logistic model for the latent class probabilities. The model assumes the food trajectories and hazards arise from several underlying classes, and each child...
demonstrated the efficacy of this strategy in controlling PJI in a rabbit joint model infected with methicillin-resistant Staphylococcus aureus [35]. A series of studies have shown that local antibiotic irrigation, suction, and drainage have achieved good results in the treatment of PJI [35,36,37...
A key feature of the Realized GARCH framework is a measurement equation that relates the observed realized measure to latent volatility. This equation facilitates a simple modeling of the dependence between returns and future volatility that is commonly referred to as the leverage effect. An empirical...
X Model-based Y Pixel-based Fig. 2. MRF graphical model coupling the model space and the label space Let Xi∈Vm (i.e. point coordinates) and Yi∈Vp (i.e. pixel label) denote the latent random variables for model nodes and pixel nodes respectively. The variable Xi can take a ...