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Registercomparison with PHX [🇷 for BE/BA]
Dear Helmut,
Many thanks for your assessment!
I am aware of these "rules" of the EMA
(fixed rather dodgy); I also ran the analysis on n=23/23. The PE, 90% CI and CVintra mentioned in ANOVA_stat.txt are exactly the same! Statistical_summaries.txt gives 104.573% (99.430-109.981%). It seems that with transfer of the results from ANOVA_stat.txt to Statistical_summaries.txt (I assume the latter is compiled based on the former) something goes wrong for imbalanced data sets...
AUC would be AUC(0-t) calculated by linear trapezoid method (bear's standard; not the nicest one, but I want to stick with method of the CRO for this reanalysis of this very old study). AUC(0-inf) is not critical at the moment (secondary parameter).
Many thanks for your assessment!
❝ • subject(sequence) fixed, n=23/23:
❝ 104.76% (99.61–110.18%) CVintra 9.95%
❝ EMA wants only the last variant.
I am aware of these "rules" of the EMA
(fixed rather dodgy); I also ran the analysis on n=23/23. The PE, 90% CI and CVintra mentioned in ANOVA_stat.txt are exactly the same! Statistical_summaries.txt gives 104.573% (99.430-109.981%). It seems that with transfer of the results from ANOVA_stat.txt to Statistical_summaries.txt (I assume the latter is compiled based on the former) something goes wrong for imbalanced data sets...❝ Only Cmax since I don’t know your AUC-algo.
AUC would be AUC(0-t) calculated by linear trapezoid method (bear's standard; not the nicest one, but I want to stick with method of the CRO for this reanalysis of this very old study). AUC(0-inf) is not critical at the moment (secondary parameter).
—
Regards,
Oiinkie
Regards,
Oiinkie
Complete thread:
- bear for imbalanced data set Oiinkie 2013-01-16 16:42 [🇷 for BE/BA]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- bear for imbalanced data set yjlee168 2013-01-16 17:25
- bear for imbalanced data set Oiinkie 2013-01-16 19:18
- bear for imbalanced data set Oiinkie 2013-01-16 19:19
- bear for imbalanced data set yjlee168 2013-01-16 19:43
- bear for imbalanced data set ElMaestro 2013-01-16 22:10
- bear for imbalanced data set Oiinkie 2013-01-22 13:28
- comparison with PHX Helmut 2013-01-22 15:06
- comparison with PHXOiinkie 2013-01-23 12:58
- comparison with PHX Oiinkie 2013-01-23 15:07
- comparison with SAS yicaoting 2013-02-15 18:58
- comparison with PHXOiinkie 2013-01-23 12:58
- bear for imbalanced data set yjlee168 2013-01-22 19:57
- ANOVA_stat.txt is correct. → bear for imbalanced data set yjlee168 2013-03-01 01:01
- bear for incomplete data set? yjlee168 2013-03-15 07:58
- comparison with PHX Helmut 2013-01-22 15:06
- bear for imbalanced data set yjlee168 2013-01-16 19:43
- imbalanced or incomplete data yicaoting 2013-02-15 18:48
- incomplete data Helmut 2013-02-16 14:41
- bear for imbalanced data set yjlee168 2013-01-16 17:25
Ing. Helmut Schütz