Pardo Llorente, María del CarmenAlonso Sanz, Rosa2023-06-192023-06-192014-02-010094-965510.1080/00949655.2012.709355https://hdl.handle.net/20.500.14352/33444Clustered 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.journal articlehttp://www.tandfonline.com/doi/abs/10.1080/00949655.2012.709355#.UtUmbPTuImMhttp://www.tandfonline.com/metadata only access519.22generalized estimating equationgeneralized residualsRepeated measureslongitudinal binary datalongitudinal Poisson dataEstadística matemática (Matemáticas)1209 Estadística