The robust or sandwich estimator is common to estimate the covariance matrix of the estimated regression parameter for generalized estimating equation (GEE) method to analyze longitudinal data. However, the robust estimator would underestimate the variance under a small sample size. We propose an alternative covariance estimator to the robust estimator to improve the small-sample bias in the GE...

For any graph G, the Equi-eccentric point set graph Gee is defined on the same set of vertices by joining two vertices in Gee if and only if they correspond to two vertices of G with equal eccentricities. The Glue graph Gg is defined on the same set of vertices by joining two vertices in Gg if and only if they correspond to two adjacent vertices of G or two adjacent vertices of Gee. In this pap...

Correlated binary data are common in biomedical studies. Such data can be analyzed using Liang and Zeger's generalized estimating equations (GEE) approach. An attractive point of the GEE approach is that one can use a misspecified working correlation matrix, such as the working independence model (i.e., the identity matrix), and draw (asymptotically) valid statistical inference by using the so-...

Clustered binary data with a large number of covariates have become increasingly more common in many scientific disciplines. This paper develops an asymptotic theory for generalized estimating equations (GEE) analysis of clustered binary data when the number of covariates grows to infinity with the number of clusters. In this “large n, diverging p” framework, we provide appropriate regularity c...

A Poluição do Ar causa cerca de 4,2 milhões mortes por ano, enquanto os Gases Efeito Estufa (GEE) provocam o aquecimento global e as mudanças climáticas. Nesse contexto, presente artigo tem como questão norteadora: qual a relação entre Estufa? O objetivo deste estudo foi entender (GEE). Este um exploratório, documental revisão literatura baseado em materiais publicados com uso ferramentas estat...