Regarding the -dstdize- command I'm having trouble standardising large
datasets. I've used dstdize to standardize 450 seperate areas. This works
well but I'm finding the output very difficult to then analyse as Stata
produces a summary table for each population for 450 areas.
I would ideally like to be able to have standardized values for each local
area PLUS 95% confidence intervals in the data browser, so that i can
analyse results further. Using svmat I can take r(adj) and create a
variable for the standardized rate but can't get the confidence intervals.
Is there anyway of doing this?
[email protected]
Sent by: To: [email protected]
owner-statalist@hsphsun2. cc:
harvard.edu Subject: st: RE: Age sex standardisation
19/03/04 15:58
Please respond to
statalist
Presumably you have looked at -dstdize- etc.
Nick
[email protected]
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]]On Behalf Of A Castelli
> Sent: 19 March 2004 15:54
> To: [email protected]
> Subject: st: Age sex standardisation
>
>
> Dear All,
>
> I have the following age/sex standardisation formula for reporting
> morbidity and need to calculate it with STATA.
>
> Sum over j Sum over k (bijk)/(nijk) * (ni..)(n.ik)/N for each
> I (=income
> group)
>
> where
> bijk = number of individuals reporting morbidity in the ith income
> group, jth age gropu and kth sex group
> nijk = numbers of individuals in the ith income groups, jth age group
> and kth sex
> ni.. = number of individuals in the ith income group
> N.jk = number of individuals in the jth age and kth sex group
> N= total number of individuals in the sample
>
> I do need to use my weight here.
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