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Re: st: svy and pweight postestimation tools


From   "Joao Ricardo F. Lima" <[email protected]>
To   [email protected]
Subject   Re: st: svy and pweight postestimation tools
Date   Sun, 23 Nov 2008 11:42:05 -0300

Dear Steve,

I think that the option -predicit- with -residuals- is not valid in
Stata 10.1 too.

*****begin example*******
webuse nhanes2f
svyset psuid [pweight=finalwgt], strata(stratid)
svy: logistic  diabetes sex race age
predict r, residuals
******end example*******

Please Steve, what is your opinion about her note:

"(Note: The strata and PSUs, when analyzed separately, provide design
 effects almost equal to 1 so the effects in my model are almost
entirely from the weighting. So, I
could get results -except for standard errors - using just the weights.)"

This make sense for you?

Thanx and Best Regards,

Joao Lima




2008/11/22 Steven Samuels <[email protected]>:
> --
>
> Carissa:
>
> -help logistic postestimation- will show you which commands are available
> after  -svy: logistic-. The -esttat clas- command is not one of them in
> Stata 9 or 10.  -predict- with a -residuals- option is valid in Stata 10.1
> but not in Stata 9.  You _can_ compute your own weighted survey -linktest-
> of fit.
>
> predict hat, xb
> gen hat2 = hat*hat
> svy: logistic aepart hat hat2   //link test is  the significance of phat2
>
> You can also construct ROC Curves. Use -logistic- with fweights, the survey
> weights rounded to the nearest integer.  See the thread at:
> http://www.stata.com/statalist/archive/2007-08/msg00739.html#_jmp0_ .
>
> -Steve
>
>
> On Nov 21, 2008, at 11:45 AM, Carissa Moffat Miller wrote:
>
>>
>> StataList:
>>
>> I am conducting logistic regression for a complex survey design using
>> Stata version 9. I have found in your past discussions and the user manuals
>> that many postestimation tests are not appropriate with svy commands. I have
>> not found discussion on classification tables and residuals and have been
>> unable to get the following commands to work either with an svy command or
>> by just using the pweights in Stata.
>>
>> I have been able to get these to work in another software program using
>> the weights, but I'm concerned it isn't appropriately applied. Can someone
>> tell me: 1) if these tests are appropriate with complex survey data or just
>> pweights, and 2) if so,what are the commands or where would I find them? or
>> 3) if not appropriate, a reference I might cite?
>>
>> (Note: The strata and PSUs, when analyzed separately, provide design
>> effects almost equal to
>> 1 so the effects in my model are almost entirely from the weighting. So, I
>> could get results -except for standard errors - using just the weights.)
>>
>> Cheers, Carissa
>>
>>
>> Syntax and error messages:
>>
>> svyset APSU [pweight=FAWT], strata (ASTRATUM)
>> xi: svy: logistic aepart i.agecat i.Incomequ i.HIGHEDUC employed female
>> urban
>>
>> estat clas
>>
>> {ERROR}: invalid subcommand clas
>>
>> predict r, residuals
>> summarize r, detail
>>
>> {ERROR}: option residuals not allowed
>>
>>
>>
>> *
>> *   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/
>



-- 
----------------------------------------
Joao Ricardo Lima, D.Sc.
Professor
UFPB-CCA-DCFS
Fone: +553138923914
Skype: joao_ricardo_lima
----------------------------------------
*
*   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/



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