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RE: st: Multinomial Logistic - ordinal variables and Odds Ratios


From   Imogen Jones <[email protected]>
To   "[email protected]" <[email protected]>
Subject   RE: st: Multinomial Logistic - ordinal variables and Odds Ratios
Date   Fri, 15 Nov 2013 20:46:20 +0000

Thanks Richard 

Does ologit still work with svy?

I am writing an Honours thesis so am still a beginner and my supervisor doesn't even use Stata so I'm struggling.  Thank you for your help, you probably saved me a few weeks worth of work and even some false data!

Regards

Imogen Jones

-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Richard Williams
Sent: Friday, 15 November 2013 3:57 PM
To: [email protected]; [email protected]
Subject: Re: st: Multinomial Logistic - ordinal variables and Odds Ratios

At 09:33 PM 11/14/2013, Imogen Jones wrote:
>Hi Everybody
>
>I was hoping somebody could shed some light on the differences between 
>using an ordinal and nominal variable in multinomial logistic 
>regression in Stata.
>
>I understand the processes are different, but I'm more concerned about 
>the model fitting.  My interpretation of Hosmer and Lemeshow (2000) was 
>that there isn't a reliable test to estimate model fit.  Is this still correct?
>
>Also, when using an ordinal variable as a dependent variable in 
>multinomial logistic, are there any assumptions specific to this 
>analysis that need to be met or parameter estimates that may vary from 
>binary logistic?
>
>Another question - Stata only seems to produce a coefficient or 
>relative risk ratio for multinomial logistic.  Is there a specific 
>reason why it won't produce an odds ratio or is it just not a function 
>of Stata?  I assumed it was the former since Stata is so comprehensive 
>it probably wouldn't leave something like that out.

See
http://www.stata.com/statalist/archive/2005-04/msg00678.html
for a discussion of the rrr vs or terminology.


-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME:   (574)289-5227
EMAIL:  [email protected]
WWW:    http://www.nd.edu/~rwilliam


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