Results 61 to 70 of about 542,387 (197)
Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status [PDF]
, 2003 Latent class regression models are useful tools for assessing associations between covariates and latent variables. However, evaluation of key model assumptions cannot be performed using methods from standard regression models due to the unobserved ...
Eaton, William W. +4 more
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7. Multilevel Latent Class Models [PDF]
Sociological Methodology, 2003 The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and non-parametric random-coefficient LC models are proposed here, which will make it possible to modify this assumption. For example, the models can be used for the analysis of data collected with complex sampling designs, data with a ...
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Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology [PDF]
, 2015 The Pneumonia Etiology Research for Child Health (PERCH) study seeks to use modern measurement technology to infer the causes of pneumonia for which gold-standard evidence is unavailable. The paper describes a latent variable model designed to infer from
Deloria-Knoll, Maria +2 more
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Estimasi Parameter Item dan Latent Class dengan Model Dina untuk Diagnosis Kesulitan Belajar
Jurnal Ilmu Pendidikan, 2013 : Estimation of Item Parameter and Latent Class with DINA Model to Diagnose Learning Difficulties. This study aims to estimate item parameter of diagnostic test developed with DINA model and identify attribute profiles of each test participant.
- Kusaeri, - Suryanto, - Kumaidi
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A comparison of two-stage segmentation methods for choice-based conjoint data: a simulation study. [PDF]
Due to the increasing interest in market segmentation in modern marketing research, several methods for dealing with consumer heterogeneity and for revealing market segments have been described in the literature.
Crabbe, Marjolein +2 more
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The Lazy Bootstrap. A Fast Resampling Method for Evaluating Latent Class Model Fit [PDF]
, 2018 The latent class model is a powerful unsupervised clustering algorithm for categorical data. Many statistics exist to test the fit of the latent class model. However, traditional methods to evaluate those fit statistics are not always useful.
Mulder, Joris +2 more
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Identifying Latent Structures in Restricted Latent Class Models
Journal of the American Statistical Association, 2018 This paper focuses on a family of restricted latent structure models with wide applications in psychological and educational assessment, where the model parameters are restricted via a latent structure matrix to reflect pre-specified assumptions on the latent attributes.
Gongjun Xu, Zhuoran Shang
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EconometricsHeterogeneity in preferences can be addressed through various discrete choice modeling approaches. The random-parameter latent class (RLC) approach offers a desirable alternative for analysts due to its advantageous properties of separating classes with ...
Péter Czine +6 more
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BMC Bioinformatics, 2011 Background Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1 million genetic markers) and its complexity make the statistical analysis a
Leray Philippe +2 more
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Generalized latent class modeling using gllamm [PDF]
gllamm can estimate both conventional and unconventional latent class models. Models are specified using discrete latent variables whose values determine the conditional response distributions for the classes. A new feature of gllamm is that latent class
Anders Skrondal +2 more
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