Latent Class Models for Categorical Data

2015 ◽  
pp. 194-215
Keyword(s):  
Categorical Data ◽  
Latent Class ◽  
Latent Class Models ◽  
Class Models

Goodness-of-fit of Multilevel Latent Class Models for Categorical Data

2016 ◽  
Vol 46 (1) ◽  
pp. 252-282 ◽  
Author(s):  
Erwin Nagelkerke ◽  
Daniel L. Oberski ◽  
Jeroen K. Vermunt
Keyword(s):  
Categorical Data ◽  
Goodness Of Fit ◽  
Latent Class ◽  
Latent Class Models ◽  
Class Models

scholarly journals Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data

2018 ◽  
Vol 43 (5) ◽  
pp. 511-539 ◽  
Author(s):  
Davide Vidotto ◽  
Jeroen K. Vermunt ◽  
Katrijn van Deun
Keyword(s):  
Multiple Imputation ◽  
Mixture Model ◽  
Categorical Data ◽  
Latent Class ◽  
Real Data ◽  
Latent Class Models ◽  
Parameter Estimates ◽  
Complex Interactions ◽  
Analysis Models ◽  
Class Models

With this article, we propose using a Bayesian multilevel latent class (BMLC; or mixture) model for the multiple imputation of nested categorical data. Unlike recently developed methods that can only pick up associations between pairs of variables, the multilevel mixture model we propose is flexible enough to automatically deal with complex interactions in the joint distribution of the variables to be estimated. After formally introducing the model and showing how it can be implemented, we carry out a simulation study and a real-data study in order to assess its performance and compare it with the commonly used listwise deletion and an available R-routine. Results indicate that the BMLC model is able to recover unbiased parameter estimates of the analysis models considered in our studies, as well as to correctly reflect the uncertainty due to missing data, outperforming the competing methods.

On the robustness of latent class models for diagnostic testing with no gold standard

2021 ◽  
Author(s):  
Matthew R. Schofield ◽  
Michael J. Maze ◽  
John A. Crump ◽  
Matthew P. Rubach ◽  
Renee Galloway ◽  
...  
Keyword(s):  
Gold Standard ◽  
Latent Class ◽  
Diagnostic Testing ◽  
Latent Class Models ◽  
No Gold Standard ◽  
Class Models

STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models

2017 ◽  
Vol 138 ◽  
pp. 37-47 ◽  
Author(s):  
Polychronis Kostoulas ◽  
Søren S. Nielsen ◽  
Adam J. Branscum ◽  
Wesley O. Johnson ◽  
Nandini Dendukuri ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Latent Class ◽  
Latent Class Models ◽  
Class Models
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