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

METHODS: Latent class analysis (a statistical technique to identify clustering of variance from a set of categorical variables) was applied to 174 cases using clinical diagnostic information to identify the most parsimonious model of best fit. 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. In contrast, two studies using multiple group latent class analysis (i.e. Cambridge, UK: Cambridge University Press. 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. Using latent class analysis on these variables, we derive seven classes. We develop a latent class modeling approach for joint analysis of high-dimensional semicontinuous biomarker data and a binary disease outcome. Doi:10.1371/journal.pone.0056430. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. The methods we presented here to analyse the p53 data can be applied in many other situations where multiple tests exist, but where none of them is a gold standard. Instead of a standard regression model, consider building a latent class regression. Latent Class Analysis (LCA) was used to analyze patterns of witnessed community violence among the participants. This is the first time, to the authors' knowledge, that latent class analysis has been applied to longitudinal data on back pain patients. An alternative is to use the Expectation Maximization (EM) algorithm [26], which is also a maximum likelihood approach but ideally suited to problems comprising latent class variables, which is exactly what we have here as the true disease status of each observation is only latently While the DIC is very commonly used in Bayesian analyses, and is straightforward to estimate, it is not without its critics and its reliability in some situations is an active area of statistical research (e.g. Next, the researchers applied latent class growth analysis to estimate the smoking trajectory for each individual. Structural equation model and its applications (2nd ed.) Beijing, China: Educational Science Publishing House. Citation: Walter SD, Riddell CA, Rabachini T, Villa LL, Franco EL (2013) Accuracy of p53 Codon 72 Polymorphism Status Determined by Multiple Laboratory Methods: A Latent Class Model Analysis.