Transcription of Generalized Estimating Equations - SAS
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Generalized Estimating Equations - SAS
Generalized Estimating Equations introduction The Generalized Estimating Equations (GEEs) methodology, introduced by Liang and Zeger (1986), enables you to analyze correlated data that otherwise could be modeled as a Generalized linear model. GEEs have become an important strategy in the analysis of correlated data. These data sets can arise from longitudinal studies, in which subjects are measured at different points in time, or from clustering, in which measurements are taken on subjects who share a common characteristic, such as belonging to the same litter.
Generalized Estimating Equations Introduction The generalized estimating equations (GEEs) methodology, introduced by Liang and Zeger (1986), enables you to analyze correlated data that otherwise could be modeled as a generalized linear model. GEEs have become an important strategy in the analysis of correlated data.
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Introduction to Generalized Linear Models, Introduction Generalized Linear Models, Linear, Longitudinal, Models, Linear models, Introduction, Generalized linear models, Introduction to Generalized Linear Mixed Models, Generalized linear, Generalized, Optimization Methods in Finance, Introduction to Inverse Problems, MIT OpenCourseWare