Your browser doesn't support javascript.
loading
Selection criterion of work matrix as a function of limiting estimates of the covariance matrix of correlated data in GEE.
Silva, Jackelya Araujo Da; Cirillo, Marcelo Angelo.
Afiliação
  • Silva JAD; Department of Statistics, University Federal of Piaui, Teresina, Piaui, Brazil.
  • Cirillo MA; Department of Statistics, University Federal of Lavras, Lavras, Minas Gerais, Brazil.
Biom J ; 60(5): 979-990, 2018 09.
Article em En | MEDLINE | ID: mdl-30059161
The modeling of generalized estimating equations used in the analysis of longitudinal data whether in continuous or discrete variables, necessarily requires the prior specification of a correlation matrix in its iterative process in order to obtain the estimates of the regression parameters. Such a matrix is called working correlation matrix and its incorrect specification produces less efficient estimates for the model parameters. Due to this fact, this study aims to propose a selection criterion of working correlation matrix based on the covariance matrix estimates of correlated responses resulting from the limiting values of the association parameter estimates. For validation of the criterion, we used simulation studies considering normal and binary correlated responses. Compared to some criteria in the literature, it was concluded that the proposed criterion resulted in a better performance when the correlation structure for exchangeable working correlation matrix was considered as true structure in the simulated samples and for large samples, the proposed criterion showed similar behavior to the other criteria, resulting in higher success rates.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estatística como Assunto Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Child / Humans Idioma: En Revista: Biom J Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estatística como Assunto Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Child / Humans Idioma: En Revista: Biom J Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Alemanha