Hi
I recently run GEE model of Falls rates to compare the effect of 12 months intervention -
The trial was of cluster design where I randomised villages to intervention group=1 and control group=0.
I used the command GENMOD as follow
PROC GENMOD DATA=today; CLASS group (ref='0') multiple_fallers (ref='0') village_id /param=ref ; MODEL number_falls= group /LINK=LOG DIST=NEGBIN TYPE3 OFFSET=log_FUweeks; repeated subject=village_id;
RUN;
Now I would like to test this in zero-inflated negative binomial model as people with history of multiple falls at baseline fell more in the intervention group than their counterparts in the control and it could be that the effect of the intervention will be different if I model it differently
I find it hard to find the codes which I need to use taking into account the adjustment for cluster and the variability of follow-up time between the clusters (villages); the mean follow-up in weeks varied greatly between villages.
Any help on the command I need to use and where to place these 4 variables would be greatly appreciated
group (intervention indicator),
FUweeks (time remain in the study)
fallers (history of falls) and
village_id (cluster)
thanks
Dafna
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