A penalized latent class model for ordinal data

DOI10.1093/BIOSTATISTICS/KXM026zbMath1143.62061OpenAlexW2167195379WikidataQ33290610 ScholiaQ33290610MaRDI QIDQ3526153

Andres Houseman, Rebecca A. Betensky, Anat Stemmer-Rachamimov, Stacia M. DeSantis, Brent A. Coull

Publication date: 25 September 2008

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxm026

Mathematics Subject Classification ID

Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Related Items (11)

Mixture models for ordinal data: a pairwise likelihood approach ⋮ Biclustering models for two-mode ordinal data ⋮ Mixture models for mixed-type data through a composite likelihood approach ⋮ Mixture-based clustering for the ordered stereotype model ⋮ Finite mixture biclustering of discrete type multivariate data ⋮ Sparse cluster analysis of large-scale discrete variables with application to single nucleotide polymorphism data ⋮ A penalized approach for the bivariate ordered logistic model with applications to social and medical data ⋮ Bayesian profile regression with an application to the National survey of children's health ⋮ Variable selection methods for model-based clustering ⋮ Some Remarks on Latent Variable Models in Categorical Data Analysis ⋮ Bayesian model-based clustering for longitudinal ordinal data

This page was built for publication: A penalized latent class model for ordinal data