Re: st: multilevel logistic model on aggregated data

[Joerg Luedicke <joerg.luedicke@gmail.com>]

I am not sure if I understand the problem correctly and maybe I am
missing something, but if you do not have any individual level data
you can only look at the variability of schools across countries as,
for example, in:

xtmelogit binaryoutcome x1  x2  || country:, or


Joerg


On Tue, Nov 22, 2011 at 4:58 AM, Maria Paola Caria
<Maria.Paola.Caria@ki.se> wrote:
> I need to fit logistic models on data aggregated at the school level.
> Since there is a hierarchy in the data with schools clustered in regions,
>  I need to add a random intercept  at the region level.
> To clarify, If I had data at the individual level my model would be:
>
> xtmelogit binaryoutcome x1  x2  || country: || school: , or
>
> gllamm binaryoutcome x1 x2, i(school country) eform  family(binomial) link(logit)
>
> but data are aggregated at the school level.
> Is there a command to fit multilevel logistic model on aggregated data in StataSE 12 ?
> Any help is appreciated.
> Thanks.
> Maria Paola
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> Maria Paola Caria
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> PhD student
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> Dept. of Public Health Sciences
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> Division of Public Health Epidemiology
>
> Karolinska Institutet
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> SE-11891 Stockholm, Sweden
>
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