A Generalized Estimating Equation in Longitudinal Data to Determine an Efficiency Indicator for Football Teams

2018 ◽  
Vol 146 (1-2) ◽  
pp. 249-261 ◽  
Author(s):  
Anna Crisci ◽  
Luigi D’Ambra ◽  
Vincenzo Esposito
Keyword(s):  
Longitudinal Data ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Generalized Estimating

Models for Longitudinal Data: A Generalized Estimating Equation Approach

Biometrics ◽  
1988 ◽  
Vol 44 (4) ◽  
pp. 1049 ◽  
Author(s):  
Scott L. Zeger ◽  
Kung-Yee Liang ◽  
Paul S. Albert
Keyword(s):  
Longitudinal Data ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Equation Approach ◽  
Generalized Estimating

scholarly journals Robust Estimation of Generalized Estimating Equation when Data Contain Outliers

INSIST ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Khoirin Nisa ◽  
Netti Herawati
Keyword(s):  
Longitudinal Data ◽  
Regression Model ◽  
Robust Estimation ◽  
Simulation Study ◽  
Estimating Equation ◽  
Least Square ◽  
Generalized Estimating Equation ◽  
Data Regression ◽  
Generalized Estimating

Abstract—In this paper, a robust procedure for estimating parameters of regression model when generalized estimating equation (GEE) applied to longitudinal data that contains outliers is proposed. The method is called ‘iteratively reweighted least trimmed square’ (IRLTS) which is a combination of the iteratively reweighted least square (IRLS) and least trimmed square (LTS) methods. To assess the proposed method a simulation study was conducted and the result shows that the method is robust against outliers.Keywords—GEE, IRLS, LTS, longitudinal data, regression model.

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