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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