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# Re: st: FW: odds ratios/risk ratio: variables and levels of variable

 From Maarten Buis To statalist@hsphsun2.harvard.edu Subject Re: st: FW: odds ratios/risk ratio: variables and levels of variable Date Sat, 31 Dec 2011 14:47:41 +0100

```On Sat, Dec 31, 2011 at 1:29 AM, Anthony Petrosino
<anthony_petrosino@hotmail.com> wrote:
> I have a data set in which I would like to examine the odds ratios and risk ratios of the variable (e.g., race/ethnicity) on an outcome of crime (yes/no outcome) and also examine them for different levels of the variable (white/black/Hispanic/etc.).
>
> Also, I'm not sure logistic/logit regression is what we want to use. We are not attempting to build a model, per se, to explain the outcome, but looking at the risk/odds for being in various subgroups. Is there a cross-tab function that allows one to do this?

You can use -logit- for getting the different odds and -poisson- or
-regress. for getting the different risks. The trick is to exclude the
constant and the baseline categories. Consider the example below. The
odds of being a union member is .355 union members for every
non-member if one is divorced/widowed and without college degree. The
odds of being a union member is .246 union members for every
non-member if one is married and without college degree. The
equivalent risks of being a union member are .262 and .197.

*--------------- begin example -----------------
sysuse nlsw88, clear
gen marst = married + 2*never_married
label define marst 0 "divorced/widowed" ///
1 "married"          ///
2 "never married"

logit   union ibn.marst#i.collgrad, or  nocons
poisson union ibn.marst#i.collgrad, irr nocons
*----------------- end example ------------------
(For more on examples I sent to the Statalist see:
http://www.maartenbuis.nl/example_faq )

Hope this helps,
Maarten

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------

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```