Results 271 to 280 of about 47,969 (301)

Spatial Confounding in Generalized Estimating Equations [PDF]

open access: possibleThe American Statistician, 2022
Francis K. C. Hui, Howard D. Bondell
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Generalized Estimating Equations (GEE) for Mixed Logistic Models

Communications in Statistics - Theory and Methods, 2003
In this article, the problem of estimating the fixed effects parameters and the variance components in logistic mixed models is considered. It is well known that estimating these parameters by the method of maximum likelihood faces computational difficulties.
Feddag, Mohand Larbi   +2 more
openaire   +3 more sources

Working‐correlation‐structure identification in generalized estimating equations

Statistics in Medicine, 2008
AbstractSelecting an appropriate working correlation structure is pertinent to clustered data analysis using generalized estimating equations (GEE) because an inappropriate choice will lead to inefficient parameter estimation. We investigate the well‐known criterion of QIC for selecting a working correlation structure, and have found that performance ...
Hin, Lin-Yee, Wang, You-Gan
openaire   +4 more sources

Generalized Estimating Equation and Generalized Linear Mixed Models

2020
This chapter covers methods to model observations that are correlated. The modeling of correlated data requires an alternative to the joint likelihood to obtain the parameter estimates. One such method is based on modeling the marginal mean and another method is based on modeling the conditional mean.
Ding-Geng Chen   +2 more
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Estimating the stenosis probabilities in arteriosclerosis obliterans using generalized estimating equations

Statistics in Medicine, 2003
AbstractFor each of 211 arteriosclerosis obliterans patients, the degree of stenosis of arteries at four sites were examined at Hiroshima University Hospital to analyse the relationship between the degree of stenosis and age, sex and site. The generalized estimating equations using a proportional odds model for the stenosis probability with ...
Katsuhide Ito   +4 more
openaire   +2 more sources

A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations

Biometrics, 2007
Summary Mancl and DeRouen (2001, Biometrics57, 126–134) and Kauermann and Carroll (2001, JASA96, 1387–1398) proposed alternative bias‐corrected covariance estimators for generalized estimating equations parameter estimates of regression models for marginal means. The finite sample properties of these estimators are compared to those of the uncorrected
Bahjat F. Qaqish   +5 more
openaire   +3 more sources

A generalized estimating/pseudo-score equations approach for the estimation of structural equation models [PDF]

open access: possible, 2000
The results of two simulation studies suggest a mixed `generalized estimating/pseudo-score equations' approach to lead to more efficient estimators than a GEE approach proposed by Qu, Williams, Beck and Medendorp (1992) or a three-stage approach as proposed e.g.
openaire   +1 more source

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