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From |
Carissa Moffat Miller <carissamiller@vandals.uidaho.edu> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: svy and pweight postestimation tools |

Date |
Sun, 23 Nov 2008 07:40:17 -0800 |

Steve and Joao, Thank you for your suggestions and the information. I had found the goodness of fit measure do file from your discussions (svylogitgof) and thought there might be something similar for the estat clas or residuals for svy. All I was trying to say in my note is that the strata and PSUs account for so little difference in the outcome that if it were possible to run residuals or classification tables using just pweights, I wanted to keep that option open. Such as: xi: logistic aepart i.agecat i.Incomequ i.HIGHEDUC female [pweight=FAWT] But it appears that I will have the same issues. Thank you so much for your responses and help. Carissa > Date: Sun, 23 Nov 2008 11:42:05 -0300 > From: jricardofl@gmail.com > To: statalist@hsphsun2.harvard.edu > Subject: Re: st: svy and pweight postestimation tools > > 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 : >> -- >> >> 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/ * * 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/

**Follow-Ups**:**Re: st: svy and pweight postestimation tools***From:*Steven Samuels <sjhsamuels@earthlink.net>

**References**:**st: svy and pweight postestimation tools***From:*Carissa Moffat Miller <carissamiller@vandals.uidaho.edu>

**Re: st: svy and pweight postestimation tools***From:*Steven Samuels <sjhsamuels@earthlink.net>

**Re: st: svy and pweight postestimation tools***From:*"Joao Ricardo F. Lima" <jricardofl@gmail.com>

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