RT Journal Article
T1 GEEs for repeated categorical responses based on generalized residuals
A1 Pardo Llorente, María del Carmen
A1 Alonso Sanz, Rosa
AB 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.
PB Gordon & Breach
SN 0094-9655
YR 2014
FD 2014-02-01
LK https://hdl.handle.net/20.500.14352/33444
UL https://hdl.handle.net/20.500.14352/33444
DS Docta Complutense
RD 8 abr 2025