A character string indicating the type of marginal effects to estimate. Mostly relevant for non-linear models, where the reasonable options are “response” (the default) or “link” (i.e., on the scale of the linear predictor in a GLM).

Effect measures are presented as prevalence ratios and prevalence differences. Marginal standardization allows inference to the total population, and we observe only slight differences of the prevalence ratio (1.3 vs 1.5) and prevalence difference (12.2% vs 15.0%) compared with the unadjusted analysis.

## Lego city winter 2021 sets

Interior design agency names

Shimano saragosa 5000 sw line capacity