Effects of time-invariant covariates on the estimation of longitudinal trends for transition mixed models.
Stat Med
; 33(27): 4743-55, 2014 Nov 30.
Article
em En
| MEDLINE
| ID: mdl-25052380
ABSTRACT
In this paper, we investigate the impact of time-invariant covariates when fitting transition mixed models. This is carried out by emphasizing on the role of baseline responses on the estimation process. Transition models are allowed for two cases of exogenous and endogenous baseline responses. We illustrate these concepts in the special case of transition linear mixed models with centered time-varying covariates. Results of our simulation studies show that the omission, or the inclusion, of time-invariant covariates is not important in models with exogenous baseline responses, while it has an essential effect on fitting models with the endogenous baseline responses. It is also emphasized that the effect becomes minor when the endogeneity issue is handled. The practical consequences are illustrated in the analysis of a real data set taken from medical sciences.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Modelos Lineares
/
Estudos Longitudinais
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
País/Região como assunto:
Europa
Idioma:
En
Revista:
Stat Med
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
Irã