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We investigate methods for data‐based selection of working covariance models in the analysis of correlated data with generalized estimating equations. We study two selection criteria: Gaussian pseudolikelihood and a geodesic distance based on discrepancy between model‐sensitive and model‐robust regression parameter covariance estimators. The Gaussian pseudolikelihood is found in simulation to be reasonably...
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