i am working with community clustered data on health inequalities. the
hypothesis is that community (level 2) attributes like local economic
deprivation are buffering/strengthen the relation between individual
income and individual health. That all works for continous outcome data
(like self reported health), but for my binary outome (diagnosis yes-no)
i am quite confused. i have to report average marginal effects (there
might be different possibilities, but i definitely have to report them).
Which stata command is working for random intercept / random slope
models with a binary outcome and can be combined with a command creating
average marginal effects?