|
Título:
|
GEEs for repeated categorical responses based on generalized residuals
|
|
Autores:
|
Pardo Llorente, María del Carmen ;
Alonso Sanz, Rosa
|
|
Tipo de documento:
|
texto impreso
|
|
Editorial:
|
Gordon & Breach, 2014-02-01
|
|
Palabras clave:
|
Estado = Publicado
,
Materia = Ciencias: Matemáticas: Estadística matemática
,
Tipo = Artículo
|
|
Resumen:
|
Clustered or correlated samples of categorical response data arise frequently in many fields of application. The method of generalized estimating equations (GEEs) introduced in Liang and Zeger [Longitudinal data analysis using generalized linear models, Biometrika 73 (1986), pp. 13-22] is often used to analyse this type of data. GEEs give consistent estimates of the regression parameters and their variance based upon the Pearson residuals. Park et al. [Alternative GEE estimation procedures for discrete longitudinal data, Comput. Stat. Data Anal. 28 (1998), pp. 243-256] considered a modification of the GEE approach using the Anscombe residual and the deviance residual. In this work, we propose to extend this idea to a family of generalized residuals. A wide simulation study is conducted for binary and Poisson correlated outcomes and also two numerical illustrations are presented.
|
