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From | Maarten Buis <maartenlbuis@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: adjusted twoway table |
Date | Fri, 19 Aug 2011 15:05:49 +0200 |
On Fri, Aug 19, 2011 at 1:54 PM, Lima, Julie <julie_lima@brown.edu> wrote: > Yes -- I'm using mlogit with caregiver arragement as dependent > variable, the primary caregiver variable as dummies in the model > (ref=wife) and then a slew of covariates. You can get a nicer looking table this way: *--------------- begin example ---------------- // prepare some data // caregiver arrangement = occ // primary caregiver = marst sysuse nlsw88, clear gen occ = cond(occupation < 3, 1 , /// cond(occupation < 7, 2, 3 )) /// if !missing(occupation) label define occ 1 "higher" /// 2 "middle" /// 3 "lower" label value occ occ gen marst = married + 2* never_married label define marst 0 "divorced/widowed" /// 1 "married" /// 2 "never married" label value marst marst // estimate model mlogit occ i.marst grade i.race // fix values of explanatory variables preserve // so we can later recover original data replace grade = 12 // finished highschool replace race = 1 // white // predict probability predict pr* if e(sample), pr // expected count is sum of probabilities collapse (sum) pr* if e(sample), by(marst) reshape long pr , i(marst) j(occ) label value occ occ tabdisp occ marst, cellvar(pr) restore *------------- end example ------------------------ (For more on examples I sent to the Statalist see: http://www.maartenbuis.nl/example_faq ) Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/