Hi Gerben,
By cross-level interactions, do you mean for example an
interaction between var2 and var3?
In that case, you need to form a new variable equal
to the product of the two and include that in the model:
gen var23 = var2*var3
gllamm var1 var2 var3 var23, i(group region) offset(ln_practice_size) allc
It's probably better if you use the 'adapt' option
for continuous responses.
Best wishes,
Sophia
At 01:34 PM 11/26/02 +0100, you wrote:
>Hi,
>I used the gllamm command for a multilevel analysis in which I try to
>explain why some general practitioners (GP) order more diagnostic tests
>than others. There are explanatory variables at the level of single
>general practitioners, GP-groups in which they collaborate, and regions
>in which these groups work and order tests with a one diagnostic
>facility per region. So far I kept it simple:
>
>gllamm var1 var2 var3, i(group region) offset(ln_practice_size) allc
>
>,where var1 is a variable at the GP level, var2 a variable at the group
>level, and var3 a variable at the region level. How do I implement
>cross-level interactions in this model, that is by using which syntax?
>
>Thanks,
>Gerben
>
>Gerben ter Riet, MD PhD, Academic Medical Center
>Dept. General Practice, Room J3-354, 1105 AZ Amsterdam
>Tel. ++31 (0)20 566 4640; Fax: ++31 (0)20 566 9186 (Mo thru' Wed)
>Wiss. Mitarbeiter, Horten Zentrum, Univ Zurich; www.evimed.ch (Fri)
>Hon. Sen. Res. Fellow, Univ. Birmingham (UK)
>
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