Generalized Estimating Equations

By Edward C. Chao. Technometrics, 2003

815 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f5538189c77033b6e1a961a57df9ac6b40ba86cc

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Citations in the corpus

AN EYE FOR WORDS (2013, methodology): “We tested this prediction by means of a generalized estimating equation (GEE) analysis (Hardin & Hilbe, 2003 ), a powerful statistical technique that we used to fi t a repeated measures logistic regression.”
Chronic industrial noise affects pairing success and age structure of ovenbirds Seiurus aurocapilla (2006, methodology): “GEE are a modification of generalized linear models that account for the nested structure in an experimental design, whereby each individual occurs at a site with the site being the primary sampling unit (Hardin & Hilbe 2003).”
What You See May Not Be What You Get: A Brief, Nontechnical Introduction to Overfitting in Regression-Type Models (2004, background): “For repeated or clustered response measures (eg, a multisite study, twin or couples data, or repeated measures), mixed or hierarchical linear models can be used for normally distributed responses, whereas there are extensions available for repeated or clustered nonnormal responses (6).”
A cost‐efficient and simple protocol to enrich prey DNA from extractions of predatory arthropods for large‐scale gut content analysis by Illumina sequencing (2017, background): “It fits a marginal model and produces correct estimates of SE and consequently model inferences (Hardin & Hilbe 2003).”
Power Imbalance, Mutual Dependence, and Constraint Absorption: A Closer Look at Resource Dependence Theory (2005, background): “…mergers formed between industry i and industry j, Nit is the total number of mergers formed by industry i with any industry, and pijt is the proportion of those mergers that industry i formed with industry j (for a thorough introduction to GEE in the estimation of GLM, see Hardin and Hilbe, 2003).”
Feeling the Heat: Effects of Stress, Commitment, and Job Experience on Job Performance (2007, methodology): “We employed a population-averaged general estimating equations (GEE) model (Ballinger, 2004; Hardin & Hilbe, 2003) using Stata 9.0 to predict performance for each employee-month.”
Using Generalized Estimating Equations for Longitudinal Data Analysis (2004, methodology): “…starting the procedure all over again in an iteratively reweighted least squares procedure that involves minimizing the extent of change in the parameter estimates from a perfectly fitted regression model (Gardner et al., 1995; Hardin & Hilbe, 2003; Liang & Zeger, 1986; McCullagh & Nelder, 1989).”
GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares (2008, background): “In addition, see Hardin and Hilbe (2003) for an excellent and comprehensive text on GEE.”
Mental contrasting instigates goal pursuit by linking obstacles of reality with instrumental behavior (2012, background): “Generalized estimating equations (Schafer, 2006) showed a three-way interaction”
Mindfulness-Based Relapse Prevention for Substance Use Disorders: A Pilot Efficacy Trial (2009, methodology): “To accommodate the longitudinal and incomplete data, an exchangeable correlation structure was used, and bootstrapping was applied to correct standard errors (55).”
Determinants of International Migration Flows to and from Industrialized Countries: A Panel Data Approach beyond Gravity 1 (2010, methodology): “Both the dispersion and the QIC statistics were smallest for the GEE with independence, which yields estimates of the coefficients exactly the same as the estimates of the corresponding OLS models for inflow and outflow (Hardin and Hilbe, 2003).”
GAMLSS: A distributional regression approach (2018, methodology): “The GAMs introduced by Hastie and Tibshirani (1990) and popularized by Wood (2017) have made the smoothing techniques within a regression framework available to a wide range of practitioners. GAMLSS can be seen as an extension of the LM, GLM and GAM. GAMLSS have two main features. First, the GLMs an”