A combined gamma frailty and normal random-effects model for repeated, overdispersed time-to-event data.
Stat Methods Med Res
; 24(4): 434-52, 2015 Aug.
Article
em En
| MEDLINE
| ID: mdl-24525486
ABSTRACT
This paper presents, extends, and studies a model for repeated, overdispersed time-to-event outcomes, subject to censoring. Building upon work by Molenberghs, Verbeke, and Demétrio (2007) and Molenberghs et al. (2010), gamma and normal random effects are included in a Weibull model, to account for overdispersion and between-subject effects, respectively. Unlike these authors, censoring is allowed for, and two estimation methods are presented. The partial marginalization approach to full maximum likelihood of Molenberghs et al. (2010) is contrasted with pseudo-likelihood estimation. A limited simulation study is conducted to examine the relative merits of these estimation methods. The modeling framework is employed to analyze data on recurrent asthma attacks in children on the one hand and on survival in cancer patients on the other.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Interpretação Estatística de Dados
/
Modelos Estatísticos
Tipo de estudo:
Clinical_trials
/
Risk_factors_studies
Limite:
Adult
/
Child, preschool
/
Female
/
Humans
/
Male
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article