[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

RE: st: tobit?

From   "Kieran McCaul" <>
To   <>
Subject   RE: st: tobit?
Date   Wed, 13 Aug 2008 08:50:27 +0800

Since BMI is weight divided by height squared, why not regress weight on
SES while adjusting for height squared?

Kieran McCaul MPH PhD
WA Centre for Health & Ageing (M573)
University of Western Australia
Level 6, Ainslie House
48 Murray St
Perth 6000
Phone: (08) 9224-2140
Phone: -61-8-9224-2140

--- Mona Mowafi <> wrote:
> 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?

*   For searches and help try:

© Copyright 1996–2015 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index