Bayesian partial linear model for skewed longitudinal data.
Biostatistics
; 16(3): 441-53, 2015 Jul.
Article
em En
| MEDLINE
| ID: mdl-25792623
Unlike majority of current statistical models and methods focusing on mean response for highly skewed longitudinal data, we present a novel model for such data accommodating a partially linear median regression function, a skewed error distribution and within subject association structures. We provide theoretical justifications for our methods including asymptotic properties of the posterior and associated semiparametric Bayesian estimators. We also provide simulation studies to investigate the finite sample properties of our methods. Several advantages of our method compared with existing methods are demonstrated via analysis of a cardiotoxicity study of children of HIV-infected mothers.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Modelos Lineares
/
Teorema de Bayes
Tipo de estudo:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Child
/
Child, preschool
/
Female
/
Humans
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Infant
/
Newborn
/
Pregnancy
Idioma:
En
Revista:
Biostatistics
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos