Re: st: svy and pweight postestimation tools

[Steven Samuels <sjhsamuels@earthlink.net>]

--

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
>
>
>
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