Link: https://en.wikipedia.org/wiki/Generalized_estimating_equation
Description: WEBIn statistics, a generalized estimating equation (GEE) is used to estimate the parameters of a generalized linear model with a possible unmeasured correlation between observations from different timepoints.
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Link: https://online.stat.psu.edu/stat504/lesson/12/12.1
Description: WEB12.1 - Introduction to Generalized Estimating Equations. The idea behind GEEs is to produce reasonable estimates of model parameters, along with standard errors, without specifying a likelihood function in its entirety, which can be quite difficult with a …
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Link: https://library.virginia.edu/data/articles/getting-started-with-generalized-estimating-equations
Description: WEBGeneralized estimating equations, or GEE, is a method for modeling longitudinal or clustered data. It is usually used with non-normal data such as binary or count data. The name refers to a set of equations that are solved to obtain parameter estimates (i.e., model coefficients).
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Link: https://towardsdatascience.com/an-introduction-to-generalized-estimating-equations-bc7dee570478
Description: WEBAug 5, 2020 · An introduction to Generalized Estimating Equations. How to assess the population average effect for longitudinal data. Robert Greener. ·. Follow. Published in. Towards Data Science. ·. 4 min read. ·. Aug 5, 2020. A key assumption underpinning generalized linear models (which linear regression is a type of) is the independence of …
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Link: https://dept.stat.lsa.umich.edu/~kshedden/Courses/Regression_Notes/gee.pdf
Description: WEBScore equations Suppose we have multivariate Gaussian data with mean structure E[yjX] = X and covariance structure 2Rn n. Using generalized least squares, we estimate by minimizing (y X )0 1(y X ): The minimizer solves the following system of equations for : X0 1(y X ) = 0 These are the score equations ‘0( ;y;X) = 0 for the Gaussian log
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Link: https://www.publichealth.columbia.edu/research/population-health-methods/repeated-measures-analysis
Description: WEBGeneralized Estimating Equations. Can be thought of as an extension of generalized linear models (GLM) to longitudinal data. Instead of attempting to model the within-subject covariance structure, GEE models the average response. The goal is to make inferences about the population when accounting for the within-subject correlation.
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Link: https://www.stats.ox.ac.uk/~reinert/talks/geetalk09.pdf
Description: WEB3. Generalized Estimating Equations Assume npanels, nicorrelated observations in panel i; vector x of covariates to explain ob-servations exponential family, for observation tin panel i exp (yit it b( it) a(˚) + c(yit;˚)) Generalized Estimating Equations (GEEs) in-troduce second-order variance components di-rectly into an estimating equation ...
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Link: https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781118445112.stat06899
Description: WEBSep 29, 2014 · This generalization of the estimating equation from the independence model is thus referred to as a Generalized Estimating Equation (GEE). This article discusses the foundation of GEEs as well as how user-specified correlation structures are accommodated in the model-building process.
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Link: https://onlinelibrary.wiley.com/doi/10.1111/eth.12713
Description: WEBDec 11, 2017 · Generalized estimating equations offers a pragmatic approach to the analysis of correlated GLM data. By itself, GEE is not a model but a method to estimate parameters of some model. Typically, GEE uses the GLM model and incorporates a certain assumed correlation structure in residuals.
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Link: https://link.springer.com/referenceworkentry/10.1007/978-1-4614-6625-3_45-1
Description: WEBMar 24, 2023 · Generalized Estimating Equations. Geert Molenberghs, Geert Verbeke & Michael G. Kenward. Living reference work entry. First Online: 24 March 2023. 100 Accesses. Abstract. Generalized estimating equations (GEE) provide a comparatively simple approach to dependent Gaussian and non-Gaussian outcomes.
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