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From |
Paolina Medina <carmencitamedina@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: AW: Poisson regression with survey data - goodness of fit - |

Date |
Mon, 14 Jun 2010 09:02:37 -0500 |

Thank you very much again... On Sun, Jun 13, 2010 at 4:29 PM, Steve Samuels <sjsamuels@gmail.com> wrote: > There are references in the Manual to -linktest-, introduced by Darryl > Pregibon. See also: > http://www.ats.ucla.edu/stat/stata/webbooks/logistic/chapter3/statalog3.htm. > -ovtest- after -regress- is similar in idea. Type: "help regress > postestimation" > > -linktest- will work if some of the variables are dummies. > > A correction: at least as of Version 11, possibly earlier, you don't > have to compute the linktest variables by hand after a survey > estimation command. Just run -linktest- after svy: poisson--. > > Zero-inflated Poisson, run with -svy: zip-, is another model which > generalizes the Poisson assumption. However the -vuong-- option is > not allowed after -svy: zip-, but you can use a -test- statement to > check on the joint significance of the variables in the inflate > equation. > > Steve > > On Sun, Jun 13, 2010 at 4:59 PM, Paolina Medina > <carmencitamedina@gmail.com> wrote: >> Thank you verymuch Steve and Martin. >> >> Steve, I do have come continuous covariates but some of them are dummy >> variables. >> Would this work anyway? And just one more question, do you know where >> can i find more info about this linktest that you are recommending me? >> >> Thank you very much... >> >> Paolina >> >> On Sun, Jun 13, 2010 at 3:26 PM, Steve Samuels <sjsamuels@gmail.com> wrote: >>> >>> The -linktest-- works best if you have some continuous covariates. You >>> can run the -linktest- for -svy: poisson-- as follows: >>> ************************** >>> sysuse auto, clear >>> svyset _n >>> svy: poisson rep78 mpg weight length >>> predict xb >>> gen xb2 = xb^2 >>> svy: poisson rep78 xb xb2 >>> ******************************* >>> >>> Steve >>> >>> >>> Steven Samuels >>> sjsamuels@gmail.com >>> 18 Cantine's Island >>> Saugerties NY 12477 >>> USA >>> Voice: 845-246-0774 >>> Fax: 206-202-4783 >>> >>> On Sun, Jun 13, 2010 at 3:11 PM, Martin Weiss <martin.weiss1@gmx.de> wrote: >>>> >>>> >>>> Try http://www.stata.com/meeting/dcconf09/dc09_valliant.pdf> >>>> HTH >>> >>>> Martin >>> >>> Von: owner-statalist@hsphsun2.harvard.edu >>> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Paolina Medina >>>> >>>> Hi everybody, >>>> >>>> I am running a poisson regression using survey data, >>>> Does anyone know about any measure of goodness of fit that i could use? >>>> estat gof does not work. >>>> Thank you very much in advance. >>>> >>>> Regards, >>>> >>>> Paolina >>>> * >>> >>> -- >>> >>> * >>> * 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/ >>> >> >> >> >> -- >> Paolina Medina Palma >> >> * >> * 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 > sjsamuels@gmail.com > 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/ > -- Paolina Medina Palma * * 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/

**References**:**st: Poisson regression with survey data - goodness of fit -***From:*Paolina Medina <carmencitamedina@gmail.com>

**Re: st: AW: Poisson regression with survey data - goodness of fit -***From:*Steve Samuels <sjsamuels@gmail.com>

**Re: st: AW: Poisson regression with survey data - goodness of fit -***From:*Paolina Medina <carmencitamedina@gmail.com>

**Re: st: AW: Poisson regression with survey data - goodness of fit -***From:*Steve Samuels <sjsamuels@gmail.com>

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