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Re: st: Help with age adjustment
Assume your age group and the corresponding proportion variables are
"age_gp" "age_prop" and that you have assigned them appropriately to
each observation
If you are doing many proportions or ratios, set up the adjustment
as options in your -svyset- command:
poststrata(age_gp) postweight(age_prop)
If you don't want to standardize all your results,
1. -svyset- without these options
2. Run a survey estimation command, e.g. -svy: prop- or -svy:
ratio- , with the options
stdize(age_gp) stdweight(age_prop)
-Steve
On Oct 23, 2007, at 6:22 AM, [email protected] wrote:
I need to age standardize/adjust proportions that I have generated
from
survey data.
Theoretically I think I want to work with the stdize command but I
don't
have the data set up properly and am not sure how to handle it.
I have the crude proportions directly from the dataset. The age
groupings
or strata have been created(18-24, 25-44, 45-64, and >65) with a
variable
to represent each group. From census data I have the adjustment
weight for
each group (.128810, .401725, .299194, .17021).
I realize I could do the standardization by hand but that would not
account
for the complex survey design. Any help would be much appreciated.
Julia Chevan, PT, PhD, MPH, OCS
Associate Professor of Physical Therapy
Department of Physical Therapy
263 Alden Street
Springfield, MA 01109-3797
(413) 748-3569
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Steven Samuels
[email protected]
18 Cantine's Island
Saugerties, NY 12477
Phone: 845-246-0774
EFax: 208-498-7441
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* http://www.ats.ucla.edu/stat/stata/