STATISTICAL modelsJoint latent class model is a statistical approach allowing to simultaneously account for two outcomes related to disease progression: A longitudinal measure (for example a biomarker) and time‐to‐event, in the context of a heterogeneous population. Within this approach, the linea...
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 applied to both MCLE and MLE is preferable. Here, we propose to employ the simulated likelihood approach (Geyer and Thompson...
there is growing interest in modelling neural dynamics during adaptive behaviours to probe neural representations1,2,3. In particular, although neural latent embeddings can reveal underlying correlates of behaviour, we lack nonlinear techniques
The application of Latent Class Clustering (LCC) is a commonly employed technique in crash severity studies to address unobserved heterogeneity [32,33]. However, to the best of our knowledge, the integration of LCC with interpretable ML has not been established and one objective of this study ...
Note that all those classification metrics depend solely on the classifier scores, and not on the final class labels that can be inferred by applying a fixed threshold τ . The exact definitions of each metric are reported in Table 1. R éda et al. BMC Bioinformatics (2025) 26:...
We trained hypothesis-guided (supervised), time-only (self-supervised) and hybrid models across a range of input dimensions and embedded the neural latents into a 3D space for visualization. Qualitatively, we find that the position-based model produces a highly smooth embedding that shows the pos...
Single-cell and single-nucleus RNA-sequencing (sxRNA-seq) is increasingly being used to characterise the transcriptomic state of cell types at homeostasis, during development and in disease. However, this is a challenging task, as biological effects can
Other methods used included different mixed models dependent on latent class, non-linear models with or without splines, and models with change points. The methods used for the time-to-event sub-model varied widely (and were unclear in 4 studies). The Cox proportional hazards (PH) model was...
Given that the period of young adulthood can be characterized by an increased risk for GD, it is important to explore the longitudinal trends and changes in risk for GD during this period. To address this, one of the most commonly used methods in the literature is the latent class growth ...
universal joint- coupling that connects two rotating shafts allowing freedom of movement in all directions; "in motor vehicles a universal joint allows the driveshaft to move up and down as the vehicle passes over bumps" universal coupler,coupling- a mechanical device that serves to connect the ...