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| From | Amal Khanolkar <Amal.Khanolkar@ki.se> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | st: RE: RE: Ordinal logistic regression |
| Date | Thu, 11 Nov 2010 16:42:57 +0100 |
Hi Nick, Because STATA would create equal intervals between the 3 categories of BMI?? Would mlogit be a better choice then? /Amal. Amal Khanolkar, PhD candidate, Centre for Health Equity Studies (CHESS), Karolinska Institutet, 106 91 Stockholm. Ph# +46(0)8 162584/+46(0)73 0899409 www.chess.su.se ________________________________________ From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox [n.j.cox@durham.ac.uk] Sent: 11 November 2010 16:28 To: 'statalist@hsphsun2.harvard.edu' Subject: st: RE: Ordinal logistic regression Yes, but that strikes me as just throwing away information. Nick n.j.cox@durham.ac.uk Amal Khanolkar I would like to know if BMI categorised into normal, overweight and obese could be considered as ordinal data and if so if be used as the outcome in 'ordinal logistic regression' with categorical exposures? * * 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/ * * 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/