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Re: st: Health Survey for England


From   "Christopher W. Ryan" <cryan@binghamton.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Health Survey for England
Date   Thu, 28 Sep 2006 09:39:51 -0400

The latest from ESDS Government on this question:

"It does look like we were rather hasty in saying that the PSUs weren't
in the data, having had a look at the data it does look like you may
have found them!  I will seek confirmation from the survey organisation
who designed the survey to be certain, and so that we can post this
information for future users.  They may also have some advice on dealing
with the (aparent) lack of full stratification information as well (as
although we have health authorities in the data I don't believe we have
the % of households that are non-manual). "
-- 
Christopher W. Ryan, MD
SUNY Upstate Medical University Clinical Campus at Binghamton
and Wilson Family Practice Residency, Johnson City, NY
cryanatbinghamtondotedu
GnuPG and PGP public keys available at http://pgp.mit.edu

"If you want to build a ship, don't drum up the men to gather wood,
divide the work and give orders. Instead, teach them to yearn for the
vast and endless sea."  [Antoine de St. Exupery]


Ulrich Kohler wrote:
> Christopher W. Ryan wrote:
>> I also just discovered this, via closer reading of the documentation
>> accompanying the data.  It may be useful in solving my problem:
>>
>> The pdf file from the ESDS Government website, that lists the names of
>> all the variables, lists this:
>>
>> POINT3 Sample point(3)
>>
>> The (3) is a footnote that reads: "3 Variable renamed AREA in archived
>> dataset."
>>
>> -codebook- shows that there are 720 unique values of AREA in the dataset.
> ...
>> "In HSE, a multistage stratified probability  design is used.  Postcode
>> sectors are sorted by Health Authority and, within each HA by the %  of
>> HHs where HoH is in a non-manual occupation.  720 postcode sectors are
>> selected with probability of selection proportional to number of
>> delivery points (or addresses) in each sector."
>>
>> So is the AREA variable in the dataset perhaps the postal code?  That
>> would be wonderful.
> 
>>From what you told us, I, personally, would use AREA. But that is only between 
> you and me ;-)
> 
> Uli
> 
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