Yep, that makes sense. Thanks for the feedback.
Paul
On Dec 14, 2012, at 1:05 AM, Kieran McCaul <kieran.mccaul@uwa.edu.au> wrote:
> ...
>
> -logit- and -logistic- are the same regression method. The only difference between them is that -logit- gives beta coefficients by default and -logistic- gives odds ratios by default.
>
> If you have frequency matched the controls to the cases, then you will need a categorical age variable that defines the age strata used and this will need to be in the model as well.
>
>
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Sacamano, Paul L.
> Sent: Friday, 14 December 2012 5:05 AM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: logit for case control
>
> Hello,
>
> I've been using logit for a case control database, but not sure this is the most appropriate analysis to run.
>
> The controls were loosely matched (not paired) by age frequency distribution.
>
> The outcome is binary: 30-day hospital readmission (case) or no (control).
>
> The independent variables are categorical (race, insurance, admission diagnosis, etc.) and continuous (age, number of clinic visits, etc.) and dichotomous (yes or no for HCV, CKD, etc.).
>
> Here's an example of what I've been using:
> . logit case admgroup sex insurance zip race
> and . logistic case admgroup sex insurance zip race
>
> Does this seem to be the correct approach?
>
> Thanks so much.
> Paul
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/faqs/resources/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/faqs/resources/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/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
