Variable Assessment in Latent Class Models.
Ontology highlight
ABSTRACT:
SUBMITTER: Zhang Q
PROVIDER: S-EPMC4043346 | biostudies-other | 2014 Sep
REPOSITORIES: biostudies-other
Publications
Variable Assessment in Latent Class Models.
Computational statistics & data analysis 20140901
The latent class model provides an important platform for jointly modeling mixed-mode data - i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statisticians, few studies are focused on assessing the contribution of mixed-mode variables in discriminating latent classes. Novel measures are derived for assessing both absolute and r ...[more]
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