A new paper, "Identifying PTSD symptoms typologies: A latent class analysis" (Campell, Trachik, Goldberg and Simpson, 2020), discussed further below, highlights the precision medicine trend with ...

Statistical Analysis. Latent class analysis is a statistical method for identifying unobserved “subgroups” or “typologies” in a population based on the joint patterning of observed ...

Abstract: Latent class analysis (LCA) is a statistical technique that allows for identification, in a population characterized by a set of predefined features, of hidden clusters or classes, that is, ...

Using a Latent Class Analysis (LCA) the aim of the study was to identify a latent structure accounting for the covariance between cancer-related needs. A one-factor model with two classes was ...

RESULTS We show how accelerated longitudinal designs, coupled with latent class analysis, can offer new insights into living arrangement dynamics. Our findings suggest that in Mexico the typical ...

The team examined a range of factors and, using latent class analysis (LCA), identified five distinct profiles. Class 1: Mental health and substance problems (13.5 percent).

Biologic profile to predict overall survival in non-metastatic breast cancer: A latent class analysis on aging biomarkers. Barbara Anna Henk Brouwers, Cindy Kenis, Ann Smeets, Patrick Neven, Charlotte ...