Dunnett not for continuous scales? Really? [General Statistics]
Dear Helmut!
Where does this opinion come from
. AFAIK is Dunnett's test a post-hoc test within the ANOVA framework to compare many means to one control. ANOVA always deals with measurements on continuous (metric) scales. Or do I miss somefink here?
Moreover Hauschke, Steinijans and Pigeot [1] explicitly recommend Dunnett's test for evaluation of studies with more than one Test formulations versus one reference. See Chapter 7.
For dose linearity studies (comparing more then 2 dose adjusted PK characteristics) they derive from the intersection-union principle "... Hence for a joint decision rule where all requirements must be fulfilled, no adjustment of the comparison wise type I error is needed ...". See page 170 of the reference. The argumentation given is plausible for me also as an amateur in statistics I'm not able to prove it.
BTW: Where does the 2-stage design come into play for dose-proportionality studies?
[1] Hauschke, Steinijans and Pigeot
Bioequivalence Studies in Drug Development
Wiley, Chichester 2007
❝ ... Since in dose-proportionality (aside from setting up a power model) we often compare dose-adjusted responses to one dose-level (and do not perform all pairwise tests) a variant of Dunnett’s test might be suitable. Unfortunately Dunnett is only applicable for nominal scales, not for continuous ones (doses).
Where does this opinion come from
. AFAIK is Dunnett's test a post-hoc test within the ANOVA framework to compare many means to one control. ANOVA always deals with measurements on continuous (metric) scales. Or do I miss somefink here?Moreover Hauschke, Steinijans and Pigeot [1] explicitly recommend Dunnett's test for evaluation of studies with more than one Test formulations versus one reference. See Chapter 7.
For dose linearity studies (comparing more then 2 dose adjusted PK characteristics) they derive from the intersection-union principle "... Hence for a joint decision rule where all requirements must be fulfilled, no adjustment of the comparison wise type I error is needed ...". See page 170 of the reference. The argumentation given is plausible for me also as an amateur in statistics I'm not able to prove it.
BTW: Where does the 2-stage design come into play for dose-proportionality studies?
[1] Hauschke, Steinijans and Pigeot
Bioequivalence Studies in Drug Development
Wiley, Chichester 2007
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Regards,
Detlew
Regards,
Detlew
Complete thread:
- Two-stage (any method) and multiplicity Helmut 2011-10-30 17:36
- Two-stage (any method) and multiplicity ElMaestro 2011-10-30 18:26
- Dose-dependent PK Helmut 2011-11-02 22:30
- Dunnett not for continuous scales? Really?d_labes 2011-11-01 11:11
- Yes, yes – but another construction site Helmut 2011-11-02 22:18
- PowerTOST help d_labes 2011-11-03 13:18
- PowerTOST help (solved) Helmut 2011-11-03 14:28
- intersection-union test martin 2011-11-03 22:28
- IUT and Dunnett: code for comparison of power martin 2011-11-05 23:43
- PowerTOST help d_labes 2011-11-03 13:18
- Yes, yes – but another construction site Helmut 2011-11-02 22:18
- Two-stage (any method) and multiplicity ElMaestro 2011-10-30 18:26
