Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
| From | Thomas Schübel <thomas.schuebel@wiso.uni-erlangen.de> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: Random Slope, Binary Outcome and AME |
| Date | Mon, 14 Jan 2013 12:37:06 +0100 |
dear all,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?
thanks a lot for your help thomas * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/