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Converting logit regression coefficient for interaction to marginal effect in GEE model

  • 1.  Converting logit regression coefficient for interaction to marginal effect in GEE model

    Posted 09/08/23 10:28 AM

    As in the usual logit regression model, is the conversion of B to marginal effects (percentage points) the same in the GEE model with subject clustering and exchangeable working correlation plus many covariates?

    For example, a logit regression B coefficient of .68 in GEE would convert to roughly 13 percentage points if the Y proportion is .26 (.26 X (1- .26) x .68

    A separate issue is that this coefficient does not match the marginal means estimates of the 2 by 2 interaction. I would gather the interaction coefficient is the correct estimate.



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    tille johns
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