I was able to figure out the answer. after running svy:mean on log
transformed variables, I typed ereturn display,eform(gm) and it gives
me geometric mean and sd. I tried using foreach syntax to automate the
process but was not able to run the query.
foreach x of varlist lnbenz lnchol {
quietly svy:mean`x'
gen gm`x'=exp(r(mean))
}
The problem here was r(mean) . Since I am running estimation i wasnt
able to find any equivalence of r(mean). Here is list of scalar I got
when I typed ereturn list
. svy:mean lnbenz
(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
--------------------------------------------------------------
| Linearized
| Mean Std. Err. [95% Conf. Interval]
-------------+------------------------------------------------
lnbenz | .2441459 .221858 -.2316921 .7199839
--------------------------------------------------------------
. ereturn list
scalars:
e(df_r) = 14
e(singleton) = 0
e(census) = 0
e(N_pop) = 145459402.6002451
e(N_psu) = 27
e(N_strata) = 13
e(N_over) = 1
e(N) = 647
e(N_strata_omit) = 0
e(stages) = 1
e(k_eq) = 1
e(k_eform) = 0
macros:
e(cmd) : "mean"
e(prefix) : "svy"
e(cmdname) : "mean"
e(command) : "mean lnbenz,"
e(title) : "Survey: Mean estimation"
e(vcetype) : "Linearized"
e(estat_cmd) : "svy_estat"
e(varlist) : "lnbenz"
e(predict) : "_no_predict"
e(wtype) : "pweight"
e(wvar) : "wtsvoc2y"
e(wexp) : "= wtsvoc2y"
e(vce) : "linearized"
e(su1) : "sdmvpsu"
e(strata1) : "sdmvstra"
e(properties) : "b V"
matrices:
e(b) : 1 x 1
e(V) : 1 x 1
e(_N_subp) : 1 x 1
e(V_srs) : 1 x 1
e(_N) : 1 x 1
e(error) : 1 x 1
functions:
e(sample)
thanks for the help
Ahmed.
On 3/17/06, Ahmed Arif <[email protected]> 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: [email protected]
>
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
