A latent class linear mixed model for monotonic continuous processes measured with error.
Stat Methods Med Res
; 33(3): 449-464, 2024 Mar.
Article
em En
| MEDLINE
| ID: mdl-38511638
ABSTRACT
Motivated by measurement errors in radiographic diagnosis of osteoarthritis, we propose a Bayesian approach to identify latent classes in a model with continuous response subject to a monotonic, that is, non-decreasing or non-increasing, process with measurement error. A latent class linear mixed model has been introduced to consider measurement error while the monotonic process is accounted for via truncated normal distributions. The main purpose is to classify the response trajectories through the latent classes to better describe the disease progression within homogeneous subpopulations.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Teorema de Bayes
Idioma:
En
Revista:
Stat Methods Med Res
Ano de publicação:
2024
Tipo de documento:
Article