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Re: st: Domain analysis of survey data
From
Steve Samuels <[email protected]>
To
[email protected]
Subject
Re: st: Domain analysis of survey data
Date
Fri, 16 Jul 2010 20:44:20 -0400
I should also add, that for -svy mean- and possibly some other
commands, you use an -over()- option to get all categories of a domain
variable.
On Fri, Jul 16, 2010 at 8:41 PM, Steve Samuels <[email protected]> wrote:
> Brad, For the same reason that and -if- clause would be incorrect in
> Stata, in SAS your use of the BY COUNTY statement for domain analysis
> is also incorrect unless each county is a top level stratum. See the
> section on "domains","subpopulations", or "subdomains" in any applied
> sampling book. In SAS, you should have used the DOMAIN statement
> also. Notice in what follows that the sample size for each regression
> is 69, the total population size, because every observation enters
> into the standard error calculations.
>
> Stata allows you to mimic a "by" statement for specifying domains,
> with the aid of a -foreach- statement:
>
> **************************CODE BEGINS**************************
> sysuse auto, clear
> svyset _n
> drop if rep78==.
> gen county = rep78
> recode county 1/2=3
>
> levelsof county, local(lv)
> foreach i of local lv {
> tempvar c`i'
> gen c`i' = county==`i'
> di in red "County = `i'"
> svy, subpop(c`i'): reg mpg weight
> }
> ***************************CODE ENDS***************************
>
> Steve
>
> Steven Samuels
> [email protected]
> 18 Cantine's Island
> Saugerties NY 12477
> USA
> Voice: 845-246-0774
> Fax: 206-202-4783
>
>
>
> On Fri, Jul 16, 2010 at 7:14 PM, G. Dai <[email protected]> wrote:
>> One clarity first. Can't use if statement in a survey because it kills
>> the sample to sample variability of the survey design.
>> In the case, use subpop option after svy:
>> gen countyi=county==i
>> svy,sub(countyi): mean agegroup race education income maritalstatus
>> smokingstatus
>> hth
>> guang
>>
>>
>> On Fri, Jul 16, 2010 at 3:23 PM, Brad Cannell <[email protected]> wrote:
>>> Hello,
>>>
>>> I'm new to stata. I'm analyzing a large weighted state survey (Behavioral Risk Factor Surveillance System) to create a state report. In this report I need to do a separate descriptive table for each county in the state, which includes proportions of the county that fall into various different categories. In SAS I would have done it like this (hypothetical):
>>>
>>> proc surveyfreq data=statereport;
>>> table agegroup race education income maritalstatus smokingstatus;
>>> by county
>>> weight finalweight
>>> strata stratvar
>>> run;
>>>
>>> The "by county" because that is the command that would have repeated the frequency tables of age, race, education, etc for each county.
>>>
>>> So far in stata I have been able to designate the dataset as survey data with the correct weight and strata variables identified. I have also been able to produce frequency tables of age, race, education, etc for the dataset as a whole using "svy: prop age race education". However, after a lot of searching I am unable to find a way to get stata to give me a separate analysis for each county. I really don't want to use "if" statements to program the analysis for each county separately. When I try "by county: svy: prop age race education" I get an error message saying that by statements can't be used with survey commands. Does anyone have a suggestion?
>>>
>>> Thanks,
>>> Brad
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>>
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>>
>
>
>
> --
> Steven Samuels
> [email protected]
> 18 Cantine's Island
> Saugerties NY 12477
> USA
> Voice: 845-246-0774
> Fai: 206-202-4783
>
--
Steven Samuels
[email protected]
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax: 206-202-4783
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/