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From |
Hitesh Chandwani <hchandwani.stata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: regression diagnostics with complex survey data |

Date |
Thu, 28 Jul 2011 09:26:32 -0400 |

Hello statalisters, I'm posting my query as a response to this thread because it is a related topic. I am also using survey data but my dependent variable is cost and is positively skewed. I'm using a GLM with gamma distribution and log link. Are there any post-estimation procedures that I could run? I found a lot of post-estimation commands for linear regression but none for GLMs. Regards, Hitesh S. Chandwani On Wed, Jul 27, 2011 at 7:10 AM, Steven Samuels <sjsamuels@gmail.com> wrote: > > > Sara- > > In addition: > > • After -svy: reg-, you can do a valid Ramsey RESET test by hand (it's what -ovtest- does -reg-) . Generate the 2nd, 3rd, & 4th powers of the fitted values by hand; add them to the regressors of the original -svy: reg- ; and -test- that they are all zero. > > • -linktest- is another specification test that works after -svy: reg- > > • For finding outliers and high leverage points, nothing in Stata is better than -mmregress- (-findit-), although it does not take weights. -mmregress- is a robust regression program that can detect clumps of outliers that ordinary LS regression would miss. (Here "robust" means "insensitive to outliers", the original meaning of "robust regression".) You might generate and plot the high residuals and robust distances identified by -mmregress- and weight the symbols by the probability weights. > > However, -mmregress- uses a single robust SD to standardize residuals. So, it can give misleading results with certain patterns of heteroskedastic data (e.g. funnel-shaped). You would need to first plot the standardized robust residual against predicted values, before deciding if a particular point identified as outlier by -mmregress- truly is one. > > Steve > sjsamuels@gmail.com > > > On Jul 26, 2011, at 1:53 PM, Sara Head wrote: > > Jaoa, > > This is very helpful, I'm embarrassed I missed them in earlier > searches! Thank you for sending!! > > Sara > > On Tue, Jul 26, 2011 at 1:12 PM, Joao Ricardo F. Lima > <jricardofl@gmail.com> wrote: >> Hi Sara, >> >> from the UCLA website: >> >> http://www.ats.ucla.edu/stat/stata/faq/svycollin.htm >> >> and statalist archives: >> >> http://www.stata.com/statalist/archive/2011-02/msg01254.html >> >> HTH, >> >> Joao Lima >> >> 2011/7/26 Sara Head <sara.head@gmail.com>: >>> Hi Statalist, >>> >>> I am working on a mediation analysis using complex survey data from >>> the 2007 Bangladesh Demographic and Health Survey. I’m using Stata/IC >>> 11.1. >>> >>> I account for complex design with the svyset command, and -estat >>> effects, deff- shows design effects are all less than 2. I am now >>> trying to run regression diagnostics with my most-final model, but >>> Stata’s svy post estimation commands do not support leverage, dfit, >>> cooksd, dfbeta, or vif (among others). >>> >>> Although there are several thorough articles and dissertations >>> discussing regressions diagnostics for complex data (google the >>> authors Li & Valliant, Liao & Valliant, and Valliant), these are all >>> over my head and not directed at syntax. >>> >>> Q1: Could someone point me towards any programs or commands for >>> considering influential data, multicollinearity with complex survey >>> data? >>> >>> Q2: Since design effects are still relatively low, what are >>> Statalisters’ opinions about conducting diagnostics without accounting >>> for design? >>> >>> Many thanks >>> >>> * >>> * 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/ >>> >> >> >> >> -- >> --------------------------------------------------------- >> João Ricardo F. de Lima >> Pesquisador A - Economia Aplicada >> Embrapa Semiárido >> e-mail: joao.ricardo@cpatsa.embrapa.br >> fone: +55 (87) 3862-1711 Ramal: 167 >> home-page: www.cpatsa.embrapa.br >> ---------------------------------------------------------- >> >> * >> * 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/ >> > > > > -- > Sara Head, MPH > PhD Candidate, Rollins School of Public Health > Emory University, Atlanta, Georgia > sara.head@gmail.com, 502-553-9159 > > * > * 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/ > -- Hitesh S. Chandwani University of Texas at Austin * * 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: regression diagnostics with complex survey data***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: regression diagnostics with complex survey data***From:*Sara Head <sara.head@gmail.com>

**Re: st: regression diagnostics with complex survey data***From:*"Joao Ricardo F. Lima" <jricardofl@gmail.com>

**Re: st: regression diagnostics with complex survey data***From:*Sara Head <sara.head@gmail.com>

**Re: st: regression diagnostics with complex survey data***From:*Steven Samuels <sjsamuels@gmail.com>

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