scholarly journals Analysis of Correlation Structures using Generalized Estimating Equation Approach for Longitudinal Binary Data

2021 ◽  
Vol 12 (2) ◽  
pp. 293-305
Author(s):  
Jennifer S.K. Chan
Keyword(s):  
Binary Data ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Equation Approach ◽  
Correlation Structures ◽  
Longitudinal Binary Data ◽  
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 Improved Generalized Estimating Equation Analysis via xtqls for Quasi–Least Squares in Stata

2007 ◽  
Vol 7 (2) ◽  
pp. 147-166 ◽  
Author(s):  
Justine Shults ◽  
Sarah J. Ratcliffe ◽  
Mary Leonard
Keyword(s):  
Least Squares ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Iterative Approach ◽  
Current Estimate ◽  
Cross Sectional ◽  
Equation Analysis ◽  
Correlation Structures ◽  
Correlation Parameters ◽  
Generalized Estimating

Quasi–least squares (QLS) is an alternative method for estimating the correlation parameters within the framework of the generalized estimating equation (gee) approach for analyzing correlated cross-sectional and longitudinal data. This article summarizes the development of qls that occurred in several reports and describes its use with the user-written program xtqls in Stata. Also, it demonstrates the following advantages of qls: (1) qls allows some correlation structures that have not yet been implemented in the framework of gee, (2) qls can be applied as an alternative to gee if the gee estimate is infeasible, and (3) qls uses the same estimating equation for estimation of β as gee; as a result, qls can involve programs already available for gee. In particular, xtqls calls the Stata program xtgee within an iterative approach that alternates between updating estimates of the correlation parameter α and then using xtgee to solve the gee for β at the current estimate of α. The benefit of this approach is that after xtqls, all the usual postregression estimation commands are readily available to the user.

A Generalized Estimating Equation Approach for Modeling Random Length Binary Vector Data

Biometrics ◽  
1997 ◽  
Vol 53 (3) ◽  
pp. 1116 ◽  
Author(s):  
Paul S. Albert ◽  
Dean A. Follmann ◽  
Huiman X. Barnhart
Keyword(s):  
Binary Vector ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Equation Approach ◽  
Vector Data ◽  
Generalized Estimating
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