ANOVA_stat.txt is correct. → bear for imbalanced data set [🇷 for BE/BA]
Dear Oiinkie, Helmut and yicaoting
Thank you all for running WNL (by Helmut) and SAS (by yicaoting) for imbalanced data provided by Oiinkie. This is definitely a great Forum.
O.K., bear will crash with incomplete data. The original question was: with imbalanced data, bear got two output files (ANOVA_stat.txt and Statistical_summaries.txt). The results showed inconsistent. After running the imbalance data, it can be concluded:
I only abstract the differences as mentioned by Oiinkie as follows:
and
ps2: A good news is that I think the inconsistency has been fixed back to 2011-12-22 (bear v2.5.4, not released to the public yet). However, the crash with incomplete data has been not yet.[edited]
Thank you all for running WNL (by Helmut) and SAS (by yicaoting) for imbalanced data provided by Oiinkie. This is definitely a great Forum.
O.K., bear will crash with incomplete data. The original question was: with imbalanced data, bear got two output files (ANOVA_stat.txt and Statistical_summaries.txt). The results showed inconsistent. After running the imbalance data, it can be concluded:
- the result of ANOVA_stat.txt is correct based on WNL & SAS runs. Oiinkie probably has already known that.
- the PE from Statistical_summaries.txt is also incorrect as pointed by Oiinkie.
- the error only occurs in imbalanced data; for incomplete data, bear will be crashed.
I only abstract the differences as mentioned by Oiinkie as follows:
[from ANOVA_stat.txt]
...
*** Classical (Shortest) 90% C.I. for lnCmax ***
Point Estimate CI90 lower CI90 upper
Ratio 104.758 99.607 110.176
---------------------- Two One-Sided Tests (TOST) -------------------------
TOST T value P value
1 T_lower -9.141 0.000
2 T_upper -6.089 0.000
**Interpretation:
Ho: Theta < 0.80000 or Theta > 1.25000
Ha: 0.80000 < or = Theta < or = 1.25000
where Theta = Mean_Test/Mean_Ref.
Because all P values are less than 0.05, we will reject the null hypothesis (Ho).
BE acceptance criterion is set within the range of 80.000 - 125.000 % .
...
Intra_subj. CV = 9.953 %
...
and
[from Statistical_summaries.txt]
...
Statistical Summaries for Pivotal Parameters of Bioequivalence (N= 23 )
(cont'd)
-------------------------------------------------------------------------
Parameters F values P vales PE (%) lower 90%CI upper 90%CI
1 Cmax 1.643 0.214 - - -
2 AUC0-t 1.466 0.239 - - -
3 AUC0-inf 1.286 0.270 - - -
4 ln(Cmax) 2.516 0.128 104.573 99.4304 109.981 ← Error!
5 ln(AUC0-t) 1.330 0.262 103.317 98.5645 108.299
6 ln(AUC0-inf) 1.173 0.291 103.239 98.2956 108.433
...
ps. please ignore AUC stuffs. I just arbitrarily put 100 as the the given dose in order to complete the run with bear.
ps2: A good news is that I think the inconsistency has been fixed back to 2011-12-22 (bear v2.5.4, not released to the public yet). However, the crash with incomplete data has been not yet.[edited]
❝ Have you already been able to test the data set in order to find out whether ANOVA_stat.txt or Statistical_summaries.txt gives the "correct answer"? This would help me a lot.
—
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
Complete thread:
- bear for imbalanced data set Oiinkie 2013-01-16 16:42 [🇷 for BE/BA]
- 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 PHX Oiinkie 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 PHX Oiinkie 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 setyjlee168 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