Thanks Steve. I'm still a bit confused though.
The situation I have is typcially a 3 level outcome category & a 3
level predictor category.
I looked at the
http://www.ats.ucla.edu/stat/stata/output/stata_mlogit_output.htm
notes and they say:
"However, the exponentiated coefficient are commonly interpreted as
odds ratios".
But "interpretation" per se is perhaps the easy way out ....
Thanks for your thoughts.
Philip
On Fri, Sep 18, 2009 at 10:53 PM, <[email protected]> wrote:
> RRRs are ORs for the 2 x 2 table consisting of the baseline outcome
> category, baseline predictor category, and the outcome and predictor
> categories which index the RRR. See the mlogit manual 3 x 2 example.
>
> -Steve
> On Fri, Sep 18, 2009 at 12:16 AM, Philip Burgess
> <[email protected]> wrote:
>> I have a complex survey design defined as:
>>
>> svyset _n [pweight=mhsfinwt], jkrweight(wpm0101 - wpm0160)
>> vce(jackknife) singleunit(missing)
>>
>> When I run the following command, I get RRRs:
>>
>> xi: svy jackknife, nodots : mlogit BAgrp_DX i.isevaus, baseoutcome(1) rrr
>>
>> I wanting to report ORs - but using -eform- option doesn't seem to work:
>>
>> xi: svy jackknife, nodots : mlogit BAgrp_DX i.isevaus, baseoutcome(1) eform(or)
>>
>> Any ideas?
>>
>> Thanks;
>>
>> Philip Burgess
>> *
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>>
>
>
>
> --
> Steven Samuels
> [email protected]
> 18 Cantine's Island
> Saugerties NY 12477
> USA
> 845-246-0774
>
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