Great, thank you.
--- [email protected] wrote:
> ricardo,
> a user-written program, -kwallis2-, may get you
> where you want to go...
> --clint
>
> >
> > Dear all,
> >
> > I use the nonparametric -kwallis- test and obtain
> > these significant results:
> >
> > . kwallis outcome ,by(group)
> >
> > Test: Equality of populations (Kruskal-Wallis
> test)
> >
> > +---------------------------+
> > | group | Obs | Rank Sum |
> > |----------+-----+----------|
> > | Placebo | 12 | 278.00 |
> > | Drug 1 | 12 | 265.00 |
> > | Drug 2 | 12 | 170.00 |
> > | Drug 3 | 12 | 107.00 |
> > +---------------------------+
> >
> > chi-squared = 14.457 with 3 d.f.
> > probability = 0.0023
> >
> > chi-squared with ties = 14.457 with 3 d.f.
> > probability = 0.0023
> >
> >
> > Is there a way to test which drug groups differ
> while
> > maintaining the correct type I errror? Maybe,
> > something similar to Duncan's test after Anova, or
> > multiple adjustment method.
> >
> > Thank you,
> > Ricardo.
> >
> > Ricardo Ovaldia, MS
> > Statistician
> > Oklahoma City, OK
> >
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>
>
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Ricardo Ovaldia, MS
Statistician
Oklahoma City, OK
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