Results 11 to 20 of about 56,205 (254)
Generalized Estimating Equations
Summary Background: Generalized estimating equations (GEE) are an extension of generalized linear models (GLM) in that they allow adjusting for correlations between observations. A major strength of GEE is that they do not require the correct specification of the multivariate distribution but only of the mean structure.
A, Ziegler, M, Vens
exaly +6 more sources
Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples. [PDF]
Wang M, Kong L, Li Z, Zhang L.
europepmc +2 more sources
ObjectiveThe consequences and impact of violent behavior in schizophrenia are often serious, and identification of risk factors is of great importance to achieve early identification and effective management.MethodsThis follow-up study sampled adult ...
Zhuo-Hui Huang +12 more
doaj +1 more source
The R Package geepack for Generalized Estimating Equations
This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data.
Søren Højsgaard +2 more
doaj +3 more sources
In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated predictor variables. Our approach uses B-splines for non-parametric part in the linear predictor component.
Mozhgan Taavoni +2 more
doaj +1 more source
Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations. [PDF]
The paper considers the problem of estimation of the parameters in nite mixture models.In this article, a new method is proposed for of estimation of the parameters in nite mixture models. Traditionally, the parameter estimation in nite mixture models
Sajad Nezamdoust, Farzad Eskandari
doaj +1 more source
This study aimed to evaluate the association between diarrhea and risk factors potentially related to diarrhea incidence, such as Cryptosporidium, Giardia, Eimeria and nematode infection, animal age, failure to transfer passive immunity, type of ...
Thais Ferreira Fagundes +6 more
doaj +1 more source
Grouped Generalized Estimating Equations for Longitudinal Data Analysis
Abstract Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects. Although the standard GEE assumes common regression coefficients among all the subjects, such an assumption may not be realistic when there is potential ...
Tsubasa Ito, Shonosuke Sugasawa
openaire +4 more sources
Backgrounds Recent large-scale genetic studies often involve clustered phenotypes such as repeated measurements. Compared to a series of univariate analyses of single phenotypes, an analysis of clustered phenotypes can be useful for substantially ...
Sungyoung Lee +5 more
doaj +1 more source
Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data [PDF]
OBJECTIVES Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship of potential risk factors with TB mortality in Iran. METHODS This
Fatemeh Sarvi +4 more
doaj +1 more source

