Hello !! How are you?
I am involved in some research projects where I intend to simulate in order to give more reliability to the obtained results. I would like to know the way simulation in SAS, S-PLUS or in R is performed. After that I would like to use some multiple imputation techniques. And the last question, Can anyone tell me how can I work it out? Thank you in advance, Kind regards -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20080103/70465ace/attachment.htm From Sham.Lal <@t> manchester.ac.uk Thu Jan 10 12:53:17 2008 From: Sham.Lal <@t> manchester.ac.uk (Sham Lal) Date: Thu Jan 10 12:53:40 2008 Subject: [Impute] FW: Ice Imputation in STATA 9.2 Message-ID: <20080110185317546.00000003...@ddy2t73j> all, I'm currently in the process of analysing an imputed dataset but am having trouble performing correct regression models. The current plugins used for ICE i think are up to date however I have specified them below just incase I have got the wrong ones. which ice c:\ado\stbplus\i\ice.ado *! version 1.4.2 PR 03aug2007. *! Based on _mvis2 version 1.0.2 PR 19jan2005. *! v 1.0.0 PR 01Jun2001. *! version 1.0.0 PR 20dec2004. *! Based on artformatnos.ado v 1.0.0 PR 26Feb2004 *! version 1.0.0 PR 30may2006. which mim c:\ado\stbplus\m\mim.ado *! mim.ado v1.1.0 (JCG, JBC, PR) which mvpatterns c:\ado\stbplus\m\mvpatterns.ado *! 2.0.0 10jan2001 (STB-61: dm91) once the dataset is imputed, i wish to regress 2 variables as follows mim: regress active0_i chaq2_i however the following error occurs: invalid 'Settings' Again if i run mim regress active0_i chaq2_i the following error occurs: last estimates not found I then tried using the micombine command: micombine regress active2_i chaq2_i another error "imputation identifier _j not found" I have noticed that there is an _mj so i create _j=_mj and this seems to work with the following regression: micombine regress active2_i chaq2_i But i do not know if this is the correct way to analyse the dataset additionally it does not work for xi: micombine mlogit active2_i subtype_i for which subtype_i was imputed as a categorical variable passively any help would be appreciated, I have read through the UCLA guide on multiple imputation using ICE adn various other online resources but have yielded no results. And I keep hitting impassible brick walls Regards Sham -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20080110/0d44f02b/attachment.htm From richgold <@t> ix.netcom.com Thu Jan 10 13:19:39 2008 From: richgold <@t> ix.netcom.com (Richard Goldstein) Date: Thu Jan 10 13:20:39 2008 Subject: [Impute] FW: Ice Imputation in STATA 9.2 In-Reply-To: <20080110185317546.00000003...@ddy2t73j> References: <20080110185317546.00000003...@ddy2t73j> Message-ID: <[email protected]> You might do better sending this to the Stata list-serv; you can join at www.stata.com Rich Sham Lal wrote: > Dear all, > > I'm currently in the process of analysing an imputed dataset but am > having trouble performing correct regression models. > > The current plugins used for ICE i think are up to date however I have > specified them below just incase I have got the wrong ones. > > which ice > > c:\ado\stbplus\i\ice.ado > > *! version 1.4.2 PR 03aug2007. > > *! Based on _mvis2 version 1.0.2 PR 19jan2005. > > *! v 1.0.0 PR 01Jun2001. > > *! version 1.0.0 PR 20dec2004. > > *! Based on artformatnos.ado v 1.0.0 PR 26Feb2004 *! version 1.0.0 PR > 30may2006. > > > > which mim > > c:\ado\stbplus\m\mim.ado > > *! mim.ado v1.1.0 (JCG, JBC, PR) > > which mvpatterns > > c:\ado\stbplus\m\mvpatterns.ado > > *! 2.0.0 10jan2001 (STB-61: dm91) > > > > once the dataset is imputed, i wish to regress 2 variables as follows > > mim: regress active0_i chaq2_i > > however the following error occurs: > > invalid 'Settings' > > Again if i run > > mim regress active0_i chaq2_i > > the following error occurs: > > last estimates not found > > > > I then tried using the micombine command: > > micombine regress active2_i chaq2_i > > another error "imputation identifier _j not found" > > > > I have noticed that there is an _mj > > so i create _j=_mj > > > > and this seems to work with the following regression: > > micombine regress active2_i chaq2_i > > But i do not know if this is the correct way to analyse the dataset > > additionally it does not work for > > xi: micombine mlogit active2_i subtype_i for which subtype_i was imputed > as a categorical variable passively > > > > any help would be appreciated, I have read through the UCLA guide on > multiple imputation using ICE adn various other online resources but > have yielded no results. And I keep hitting impassible brick walls > > Regards > > Sham > > > ------------------------------------------------------------------------ > > _______________________________________________ > Impute mailing list > [email protected] > http://lists.utsouthwestern.edu/mailman/listinfo/impute
