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Re: st: geometric mean with svy (version 9.0)


From   "Stas Kolenikov" <skolenik@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: geometric mean with svy (version 9.0)
Date   Sat, 18 Mar 2006 10:59:43 -0600

Have you tried -nlcom-? It should give you the point estimates and
standard errors, at least with the regular estimation commands; I
would be extremely surprised if it were incompatible with -svy-.

On 3/17/06, Ahmed Arif <arifaa@gmail.com> wrote:
> Dear Stata Guru's,
>
> I want to compute geometric mean and SD from survey data. Here is an example:
>
> . svy:mean  lnbenz,over (sex)
> (running mean on estimation sample)
>
> Survey: Mean estimation
>
> Number of strata =      13          Number of obs    =     647 Number
> of PSUs   =      27          Population size  = 1.5e+08
>                                     Design df        =      14
>
>     _subpop_1: sex = 0. Male
>     _subpop_2: sex = 1. Female
>
> --------------------------------------------------------------
>              |             Linearized
>         Over |       Mean   Std. Err.     [95% Conf. Interval]
> -------------+------------------------------------------------
> lnbenz       |
>    _subpop_1 |   .3884244   .2993531     -.2536241    1.030473
>    _subpop_2 |   .1070038   .1907388     -.3020902    .5160979
> --------------------------------------------------------------
>
> I can manually type
> Di exp(0.3884244)
>
> For each of the category but I have to type hundreds of time since I
> have several variables. I tried egenmore option but I couldn't find
> how to use it with svy command. Can any help point me to the resource
> to find more info? Is there program I can use to automate this
> process? Ideally I would like Stata to run the survey command and then
> use the mean value to compute geometric mean and SD. Any help will be
> greatly appreciated
>
> Thank you
> Ahmed
> Ahmed A. Arif, MD., PhD
> Assistant Professor & Director
> Health Services Research Program
> Department of Family and Community Medicine Texas Tech University
> Health Sciences Center
> 3601 4th St, STOP 8161
> Lubbock, TX 79430
> Tel: 806-743-3048
> Fax: 806-743-1292
> email: ahmed.arif@ttuhsc.edu
>
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>


--
Stas Kolenikov
http://stas.kolenikov.name

*
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