Finite‐Sample Adjustments in Estimating Equations for Correlated Overdispersed Count Outcomes With Application to Cluster Randomized Trials
Generalized estimating equations (GEE) produce population‐averaged estimates of treatment effects in marginal mean models for correlated count outcomes, when intra‐cluster correlations are considered as nuisance parameters. For joint inference of marginal means and correlations, paired estimating equations have been pr...