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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.
Jeffrey R. Wilson   +2 more
openaire   +1 more source

Diagnostic techniques in generalized estimating equations

Journal of Statistical Computation and Simulation, 2007
We consider herein diagnostic methods for the quasi-likelihood regression models developed by Zeger and Liang [Zeger, S. L., Liang, K.-Y., 1986, Longitudinal data analysis for discrete and conti-nuous outcomes. Biometrics, 42, 121–130.] to analyse discrete and continuous longitudinal data. Our proposal generalises well-known measures (projection matrix,
Maria Kelly Venezuela   +2 more
openaire   +1 more source

Generalized Estimating Equations

2023
Geert Molenberghs   +2 more
openaire   +1 more source

Generalized Estimating Equation

2010
Myunghee Cho Paik, Hye-Seung Lee
openaire   +1 more source

Generalized Estimating Equations

2014
Andreas Ziegler, Maren Vens
openaire   +1 more source

Spatial Confounding in Generalized Estimating Equations

The American Statistician, 2022
Francis K. C. Hui, Howard D. Bondell
openaire   +1 more source

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