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| From | Amal Khanolkar <Amal.Khanolkar@ki.se> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | st: Ordinal logistic regression |
| Date | Thu, 11 Nov 2010 16:23:06 +0100 |
Hi everyone, This isn't a STATA per se question, but more generally a statistical one (followed by a short STATA Q.) 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? If not, are there any other appropriate methods for testing associations betwen categorical outcomes and categorical exposures (both with more than 2 categories)? Also, does one specify the 'i.' in front of BMI (as described above) in ordical logistic regression in STATA to specify the different categories or is that only for the exposure variables? Thanks! /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 * * 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/