Applied Latent Class Analysis. Allan L. McCutcheon, Jacques A. Hagenaars

Applied Latent Class Analysis


Applied.Latent.Class.Analysis.pdf
ISBN: 0521594510,9780521594516 | 478 pages | 12 Mb


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




Doi:10.1371/journal.pone.0056430. Next, the researchers applied latent class growth analysis to estimate the smoking trajectory for each individual. 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. Three data sets have been extensively validated prior to neural network analysis using receiver-operator curve (ROC analysis), Latent Class Analysis, and a multinomial regression approach. 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. To determine the underlying causes that were more likely to lead to PMV, we applied LCA to group separate co-morbidity diagnoses into no more than 10 clusters of in-patients who had undergone PMV. Optimum decision points for In applying this new agent system to diagnosis of acute myocardial infarction (AMI) we demonstrated that at an optimum clustering distance the number of classes is minimized with efficient training on the neural network. The particular modeling approach used to decide how many social classes there are in Britain is termed latent class analysis. The study used latent class analysis to associate child maltreatment and behavioral disorder. 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. The Great British Class Using latent class analysis on measures of economic, social and cultural capital, from our nationally representative sample, we defined a new model of class in Britain today. Latent Class Analysis (LCA) was used to analyze patterns of witnessed community violence among the participants. A website features some of the data sets and syntax commands used in the book. There is a growing gulf between the elite and the lower classes, and what used to be termed the middle and working classes seem to be splintering into social classes with systematically differing amounts of cultural and social capital. 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. Applications from the behavioral and social sciences The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis and multiple-group structural equation modeling; multi-level analysis; latent class analysis; and item-response theory.