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"Mona Mowafi" <email@example.com>
Tue, 12 Aug 2008 08:42:55 -0400
I have a dataset in which I am evaluating the effect of SES on BMI and BMI is heavily skewed toward obesity (i.e. over 50% of the sample >30 BMI). I preferred to run a linear regression so as to use the full range of data, but the outcome distribution violates normality assumption and I've tried ln, log10, and sqrt transformations, none of which work.
Is it appropriate to use tobit for modeling BMI in this instance? If not, any suggestions?
Your insight is much appreciated.
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