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Chunk #6 — 2.0 Generalized Estimating Equations and the Sandwich Covariance Estimator

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Modification of the Sandwich Estimator in Generalized Estimating Equations with Correlated Binary Outcomes in Rare Event and Small Sample Settings.
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Regarding the GEE methodology, if μi is a vector of predicted means for the ith individual and p is the number of regression coefficients, then ∂μi∂βh where h = 1,…, p will be used to represent the partial derivatives of the vector of predicted means with respect to the vector of regression coefficients (β). Then Di is an ni x p matrix of these partial derivatives and appears as follows: