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Re: st: generating std. devs. using svyset


From   Steven Samuels <[email protected]>
To   [email protected]
Subject   Re: st: generating std. devs. using svyset
Date   Thu, 26 Apr 2007 19:49:00 -0400

Kristen's simple suggestions and my complex one all give the same answer. This makes sense--they are mathematically identical. Here are some numbers from nhanes2, which has n=10,351 and is stratified and clustered.

Variable Mean SD summ aweight SD complex SD e(V_rs)

height 168.45988 9.699 9.699 9.699
weight 71.900635 15.433 15.432 15.433
bpsystol 126.94579 21.401 21.400 21.401
bpdiast 81.017265 12.794 12.793 12.794

If one wants to compute a CI for the population SD, the answer will depend on the sample design and a more "complex" approach.

Steve

On Apr 26, 2007, at 4:23 PM, Kristin MacDonald wrote:


Leslie Hinkson <[email protected]> asked about calculating standard
deviations when working with survey data. One way she can obtain the
population standard deviation is to estimate the mean of the variable using
-svy:mean-. This command returns a matrix e(V_srs) that contains an estimate
of the variance assuming data were collected from a simple random sample
without replacement. The formula for V_srs is

V_srs = (s^2) / n

Therefore, we can use this value along with the sample size in e(N) to obtain
an estimate of the population standard deviation. Here is an example.

webuse nhanes2, clear
svyset
svy: mean height
di "standard deviation = " sqrt(e(N) * el(e(V_srs),1,1)

It turns out that this standard deviation can also be calculated by
-summarize- with aweights. For further details on this, see

http://www.stata.com/support/faqs/stat/supweight.html

-- Kristin
[email protected]


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