Applied Latent Class Analysis Allan L. McCutcheon, Jacques A. Hagenaars
Publisher: Cambridge University Press

4.5 In all three studies, securing samples of young people (and employers) was problematic. This is the first time, to the authors' knowledge, that latent class analysis has been applied to longitudinal data on back pain patients. Nursing Medical Article: Using latent class analysis to model prescription medications in the measurement of falling among a community elderly population. Latent class analysis was used to identify sub-groups within the group of young people who were in JWT. Latent class analysis (LCA) combines information from multiple imperfect measures of an unmeasurable latent condition to estimate sensitivity (Se) and specificity (Sp) of each measure. We develop a latent class modeling approach for joint analysis of high-dimensional semicontinuous biomarker data and a binary disease outcome. In applying the proposed approach to an epidemiological study that examined the relationship between environmental polychlorinated biphenyl (PCB) exposure and the risk of endometriosis, we identified a highly significant overall effect of PCB concentrations on the risk of endometriosis. Latent class analysis (LCA) was used to group all GOLDN individuals according to the diameter of their fasting (8-hour fast) VLDL, LDL and HDL particles, determined by nuclear resonance spectroscopy. Applying latent class factor models to attribute data(with ordinal and categorical scales) is an absolutely delightful exercise once the results are compared to traditional factor analysis. If single binary questions are used, then belief in reincarnation is more often reported than if a forced-choice question is used which offers respondents alternatives to belief in reincarnation (e.g. With simple algebraic sensitivity analysis (SA), one uses researcher-specified RS The authors applied LCA to a validation study of a new substance use disorder (SUD) screener and a larger prevalence study. In contrast, two studies using multiple group latent class analysis (i.e.