We have also looked into the differences between the two. There is a
difference between SUUDAN and Stata in that Stata only incorporates the PSUs
and not any secondary units (I think manual states this). The reason is
that most of the variability is assumed to be in the primary stage.
If you plan to delve into this deeply, you need to get the book by Levy and
Lemeshow, "Sampling of Populations: Methods and Applications" (check the
Stata bookstore). The authors not only explain complex sampling designs,
but they also run their analyses using both Stata and Suudan, discussing the
differences.
Paul Visintainer
-----Original Message-----
From: baum [mailto:[email protected]]
Sent: Thursday, October 03, 2002 10:37 AM
To: StataList
Subject: st: posting on behalf of Jill Huppert
Hi, Statlisters.
I hope you can help.
I have been exploring a publically avail dataset (NHAMCS), which includes
all weighting variables, and their documentation says I should be able to
get accurate estimates and SE using STATA.
However, my statistical colleague uses SUDAAN. I have been able to match
her point estimates, but not SE.
We discovered that she uses many more weighting variables in SUDAAN than
STATA requires.
So my command looks like:
svydes:
pweight: patwt
strata:stratm1
PSU: psum
xi: svylogit outcome var1 var 2 i.var1*var2 patwt, str(stratm1)
psu(psum)sub(sample) or
Wheras in SUDAAN, Jane uses all of the following:
stratm psum subfile prostrat su poppsum popsu popvism popprovm
( and sets levels)
Am I missing the finite pop ct variable? (fpc)
Anyone else use STATA for NHAMCS?
Can Stata handle interaction terms in svy data?
Many thanks.
Jill Huppert
________________________________________________________________________
Christopher F Baum, Boston College Economics, Chestnut Hill MA 02467 USA
[email protected] http://fmwww.bc.edu/ec-v/baum.fac.html
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