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From | Michael Ingenhaag <Michael.Ingenhaag@unil.ch> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Twoway quadratic prediction plots with CIs in a multivariate regression setting |
Date | Thu, 26 Jul 2012 10:51:26 +0200 |
Thank you Scott. I was using something similar, but instead of your proposition The problem with the marginsplot command is, that I cannot combine other graphs as I would like to put graphs of two different models in one plot, i.e. for an unconditional and a conditional model. Hence, I was thinking about qfitci. Any further suggestions? On 25.07.2012 15:49, Scott Merryman wrote:
Something like this: webuse nhanes2.dta reg iron c.age##c.age i.race zinc margins , at(age = (10(10)80) (base) race (zero) zinc) vsquish marginsplot Scott On Wed, Jul 25, 2012 at 8:30 AM, Michael Ingenhaag <Michael.Ingenhaag@unil.ch> wrote:Hi, I'd like to construct quadratic prediction plots with Cis based on a multivariate regression, i.e. include additional regressors to the one on which the quadratic fit is based on. Essentially, I want to run the following regression: /reg y c.age c.age#c.age i.male i.country_ind/ /num_hh_children income/ I'd like to have the prediction of the age polynomial based on the above regression setting all other variables, respectively, to their base level (factor variables) or zero if continuous. Based on this prediction I need a plot similar to the one produced by /qfitci/. The Stata command /qfitci/ does only allow for one regressor that is used to compute the quadratic prediction. Does anyone have any suggestions? -- Michael Ingenhaag* * 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/
-- Michael Ingenhaag PhD Candidate and Assistant Faculty of Business and Economics Institute of Health Economics and Management (IEMS) University of Lausanne CH-1015 Lausanne Phone: (41) 021 692 3656 Fax: (41) 021 692 3655 Email: Michael.Ingenhaag@Unil.ch * * 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/