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Re: st: RE: logit for case control


From   "Sacamano, Paul L." <psacaman@jhsph.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: RE: logit for case control
Date   Fri, 14 Dec 2012 05:49:24 -0500

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
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