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From | Stas Kolenikov <skolenik@gmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: mi estimate and GLLAMM |
Date | Thu, 3 Apr 2014 09:14:21 -0500 |
What version of Stata are you using? -mi estimate- has -cmdok- option that you need to specify to proceed with user-written commands. With some luck, -variance- option may give you the variances of the random effects, as by default -mi- would report the results in whatever metric -gllamm- uses to parameterize the random effects (Cholesky decomposition, if I recall correctly). -- Stas Kolenikov, PhD, PStat (ASA, SSC) -- Principal Survey Scientist, Abt SRBI -- Opinions stated in this email are mine only, and do not reflect the position of my employer -- http://stas.kolenikov.name On Thu, Apr 3, 2014 at 5:30 AM, Pesola, Francesca <francesca.pesola@kcl.ac.uk> wrote: > I have imputed my data using multiple imputation and I would now like to analyse the data using GLLAMM; however, Stata produces an error message which says GLLAMM is not supported by mi estimate. > > I know mi estimate supports the xt-family commands for clustered data but there does not seem to be an xt command for multinomial logistic regression, which is what I need. > > Any suggestion would be very much appreciated! > > Thanks, > Francesca > > > > * > * 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/ * * 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/