Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Nick Cox <njcoxstata@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: St: z transformation - mibeta command |
Date | Tue, 24 Apr 2012 09:31:11 +0100 |
I think for most people a z transformation suggests (value - mean) / SD but a glance at -mibeta- (SSC) suggests that you want Fisher's z transformation for Pearson correlations. There is a tutorial at SJ-8-3 pr0041 . Speaking Stata: Corr. with confidence, Fisher's z revisited (help corrci, corrcii if installed) . . . . . . . . . . . . N. J. Cox Q3/08 SJ 8(3):413--439 reviews Fisher's z transformation and its inverse, the hyperbolic tangent, and reviews their use in inference with correlations but if you use the software download the update from SJ-10-4 and note that Stata as well as Mata now supports the trio -sinh()-, -cosh()-, -tanh()-. More generally: threads you start seem to move very slowly. See http://blog.stata.com/2010/12/14/how-to-successfully-ask-a-question-on-statalist/ for some advice on making your questions clearer. On Tue, Apr 24, 2012 at 9:04 AM, Hoang Dinh Quoc <hoangdquoc@gmail.com> wrote: > I am looking for z transformation and mibeta command is supposed to create > it but when I run this command it always reports no imputations. Nick Cox > If you have no missing values, you do not need to impute and indeed > have no scope to impute what is not missing. In what sense is this a > problem? It is simple good news. > > On Tue, Apr 24, 2012 at 8:29 AM, Hoang Dinh Quoc <hoangdquoc@gmail.com> >> It does not work with other mi estimates such as mi estimate: reg y x1 x2 >> x3... and it reports the same 'no imputations'. >> >> I have no missing values in my dataset. Can this be the problem? Richard Williams >> At 11:36 PM 4/23/2012, Hoang Dinh Quoc wrote: >>>When I used the command 'mibeta' in Stata for z transformation and I got a >>>message stating 'no imputations'. Could anyone please tell me this > problem? >>> >>>I converted my data into flong style (the command mi des tells 'Style: >>>flong'. >> My first guess would be that there is some sort of problem with your >> imputations, but without seeing more of your code or output it is >> impossible to tell. Do other mi estimate commands work, e.g. can you >> do something like >> >> mi estimate: reg y x1 x2 x3 >> >> without any problems? * * 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/