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st: Re: another aflogit issue
Name shortening did the trick!!!!!!!!! Thanks!!! Now
I have to find another excuse to not finish my
dissertaton!!!!
Marc
--- Marc Campo <[email protected]> wrote:
> Here is what I am doing:
>
> .logistic incident_lowback age gender hours_week
> second_job job_strain
>
> aflogit job_strain
>
> The regression runs fine but no AF!!
>
> I have also tried this one:
>
> .logistic incident_wrist age gender hours_week
> second_job xfer position manual_total
>
> .aflogit manual_total, ref(manual_total=3)
>
> I removed the underscores and preserved the data.
> No
> help. One possible clue....I primarily work in
> SPSS.
> The dataset was transferred using stat transfer.
> Those two variables are ones that I had to calculate
> in SPSS as opposed to entering directly in SPSS.
>
> I could try renaming without underscores in SPSS and
> retransferring............
> --- Marc Campo <[email protected]> wrote:
>
> > I keep running LR and then typing in aflogit for
> > particular variables specifying a reference level.
>
> > For some variables, no problem. For others, it
> says
> > variable not found or abbreviation is incorrect.
> I
> > am
> > typing in the right names.
> >
> > the variable xfer runs. the variables job_strain
> > and
> > manual_total do not. Anyone know why?
> >
> > thanks,
> > Marc
> >
> > --- Marc Campo <[email protected]> wrote:
> >
> > > I am looking at a series of ordinal indep
> > variables
> > > individually while adjusting for background
> > factors
> > > with logistic regression. I am entering these
> > > varaibles as continuous as opposed to dummy
> > coding.
> > >
> > >
> > > I want to use AFLOGIT for attributable
> fractions.
> > I
> > > am not sure how this works with a continuous
> indep
> > > variable however. My vars are coded from 1-4 or
> > > 1-5.
> > > 1 in each case is the lowest category. The AF
> > > instructions state to make the reference cat
> your
> > > non
> > > exposure category, so I have used 1. Is the
> > result
> > > the AF for all other categories vs. 1 in that
> > case?
> > >
> > > That's not what I want. But with so few
> > categories,
> > > I
> > > can't just take the middle value either. If it
> > isn't
> > > just 1 vs. all others, then my results should be
> > > fine.
> > >
> > > Any help is appreciated.
> > >
> >
> >
>
>
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