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Chunk #44 — 6.0 Simulation Studies — 6.2 Coverage Probabilities

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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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The coverage probability of our estimator for the regression coefficient (Figure 1) is very competitive with that of Pan’s. These two estimators outperform the remaining estimators at 20 and 30 subjects under a 5% prevalence. At 10%, 30%, and 50% prevalence values, the performance of the estimators begin to cluster and converge with increasing sample size, while the Liang-Zeger estimator lags behind the rest at fewer than 50 subjects.