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Re: st: multilevel analysis, ICC and MOR


From   yori novrianto <yorinovrianto@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: multilevel analysis, ICC and MOR
Date   Wed, 24 Apr 2013 18:47:33 -0700

Dear Mr. Jeph

MOR is median odds ration. in my analysis i used logistic multilevel
analysis. that's why i used MOR instead of ICC. Do you have any idea
regards to my problem

Many thanks,
Yori

On Wed, Apr 24, 2013 at 7:58 AM, Jeph Herrin <stata@spandrel.net> wrote:
> What is MOR?
>
>
>
> On 4/24/2013 4:49 AM, yori novrianto wrote:
>>
>> Hello everybody,
>>
>> my name is Yori, I'm using Stata 11.0 version. I have a question
>> regards to the ICC and MOR in multilevel analysis. my thesis is about
>> stunted-child-overweight-mother in urban and rural region. For my
>> modeling I differentiate between urban and rural region. I’ve run the
>> empty model with the following result, the MOR for urban was 7.85,
>> rural was 11.60.
>>
>> In the rural model, when I started include the child characteristics
>> the MOR suddenly become 1.00003. Variables in child characteristics
>> consist of: child’s sex, child age, child birth order, breastfeeding
>> status, age of weaning, pre-lacteal feeding practices, age of
>> introduction complementary feeding.
>>
>> I try to run each variable independently, with the result: child age
>> with the MOR 13.9998, child’s sex 11.611 and child birth order 11.84.
>> Whenever I include/ combine child age category with other variables
>> suddenly the MOR become 1.0003. I’ve checked the child age variable,
>> there is no missing value and there is no outlier.
>>
>> Do you have any idea about this problem, because i think it is just
>> not make sense if the ICC suddenly became one while i just include
>> three variables in my model.
>>
>> Regards,
>>
>> Yori
>>
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