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From: John on 18 Dec 2009 15:38
Hi,

I'm struggling with analyzing two large surveys on malaria parasitemia
and how the interventions (spraying and net coverage) the effect
parasitemia prevalence (binary outcome). These are 2 independent
sample 2-stage cluster surveys with strata, similar to DHS.
In proc surveylogistic, I have developed a model which shows reduced
parasitemia by increasing level of the intervention, but when I look
for endogeneity amongst the levels of intervention, my rho (using proc
qlim with binary probit for each level one at a time with outcome) is
significant.

How do I handle this? Seems like I still need to work this model for
variance estimates (of the survey design) through surveylogistic. What
to do next?

Thanks.
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