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From |
Frank Gallo <fjgallo@mac.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Re: Calculate beta values for mim results |

Date |
Mon, 04 May 2009 19:32:19 -0400 |

<> Hi Maarten, Would you consider 1.2E-15 close enough? Thank you. Best, Frank On May 4, 2009, at 5:12 AM, Maarten buis wrote: Looks ok, one way to test this is that the constant should be very very small (actually 0, but usually in the order of 1E-16. Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://home.fsw.vu.nl/m.buis/ ----------------------------------------- --- On Sun, 3/5/09, Frank Gallo <fjgallo@mac.com> wrote:

From: Frank Gallo <fjgallo@mac.com> Subject: Re: st: Re: Calculate beta values for mim results To: statalist@hsphsun2.harvard.edu Date: Sunday, 3 May, 2009, 11:40 PM <> <> Hi Maarten, I just wanted to check-in with you on my below message, which might have been lost in the shuffle of trying to correct my posting dilemma. Did I carryout the below syntax correctly based on your suggestion? Thank you. Best, Frank On May 2, 2009, at 10:04 AM, fjgallo@mac.com wrote: Hi Maarten, First, I opened the data file in which I saved the stacked imputed data sets: m(5), each set n = 3,300. Next, I ran the below syntax (for my below example, I only included a few predictor variables and the criterion variable pforce). I obtained coefficients for the run. Did I do this correctly? Please remember that I am a Stata beginner. Thank you. Best Frank ---------------------------------------------------------- mim, storebv: regress pforce assign time day foreach var of varlist pforce assign time day { gen double z`var' =. } forvalues i = 1/5 { foreach var of varlist pforce assign time day { sum `var' if _mj ==`i' replace z `var' = (`var' - r(mean)) / r(sd) if _mj == `i' } } mim: regress zpforce zassign ztime zday ------------------------------------------------------------- On May 1, 2009, at 12:04 PM, Maarten buis wrote: This is one way of getting standardized coefficients after multiple imputation: *------------------- begin example ---------------------------- sysuse auto, clear ice rep78 price mpg, m(5) clear foreach var of varlist rep78 price mpg { gen double z`var' = . } forvalues i = 1/5 { foreach var of varlist rep78 price mpg { sum `var' if _mj == `i' replace z`var' = (`var' - r(mean)) / r(sd) if _mj == `i' } } mim : reg zprice zrep78 zmpg *--------------------- end example --------------------------------- Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://home.fsw.vu.nl/m.buis/ ----------------------------------------- --- On Fri, 1/5/09, fjgallo@mac.com <fjgallo@mac.com> wrote:From: fjgallo@mac.com <fjgallo@mac.com> Subject: Re: st: Re: Calculate beta values for mimresultsTo: statalist@hsphsun2.harvard.edu Date: Friday, 1 May, 2009, 4:16 PM Thank you. Your thoughts were helpful, and I also hopethatan experienced person with the -mim- command mightoffersome insight. Best, Frank On May 1, 2009, at 11:01 AM, Martin Weiss wrote: <> You can find a general recipe for recovering the beta coefficients here:http://www.stata.com/statalist/archive/2009-03/msg00154.htmlAs I have never used -mim-, I am highly reluctant to endorse any calculation in connection with it. AFAIK,P.Royston, its author, does not post to the listregularly, sohe is unlikely to comment, either. But there areprobablymore experienced listers who can step in... Note that my -mata- code was way too complicated asyouhave now revealed that you are a beginner. Sorry about that... HTH Martin _______________________

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**Follow-Ups**:**Re: st: Re: Calculate beta values for mim results***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**References**:**Re: st: Re: Calculate beta values for mim results***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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