rahul dixit ☆ 2011-01-03 16:17 (5222 d 03:08 ago) Posting: # 6388 Views: 19,576 |
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Hello Everyone Has any body worked on the Montelukast BE study. Please let me know the number of volunteers required and the variability observed with it. Regards Rahul Edit: Category changed. [Helmut] |
bjkim97 ☆ Korea / Seoul, 2011-01-06 07:45 (5219 d 11:41 ago) @ rahul dixit Posting: # 6399 Views: 18,196 |
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Hi Ragul I recommend the this web site - Montelukast Bioequivalence Many good Bioequivalence study report. And this other I suggest to my opinion A sample size of 26 completers (13 subjects per sequence) will be required to provide 80% power that the 90% confidence interval for the ratio of Test to Reference for AUClast will lie within the acceptance region of (80%, 125%) and 80% power that 90% confidence interval for the ratio of Test to Reference treatment for Cmax will lie within the acceptance region of (80%, 125%). Consequently, this study has at least 80% power overall to demonstrate bioequivalence of the Test treatment to the Reference treatment (i.e., equivalence in both AUClast and Cmax]. This estimate is based on the assumption that the true ratio between Test and Reference treatments for both AUClast and Cmax is 1.05. An intra-subject CV estimate of approximately 15.80% for AUC and an intra-subject CV estimate of approximately 23.90% for Cmax, were obtained from literature (Pharmaceutical Research. 2004 Sep; 21(9): 1539-1544) and used in this power calculation. This sample-size calculation was performed using the PASS® software. Assuming an approximate dropout rate of 20%, 6 subjects will be recruited into the study to ensure 32 completers. This is my opinion... But you change the possible dropout rate 10% If so assuming an approximate dropout rate of 10%, 4 subjects will be recruited into the study to ensure 30 completers. I hope this helps Kind regards Byung-Ju Kim. Bioequivalence Scientist Tel: +82 2 317 2081 / +82 10 3955 1601 Edit: Full quote removed. Please delete anything from the text of the original poster which is not necessary in understanding your answer; see also this post! [Jaime] |
d_labes ★★★ Berlin, Germany, 2011-01-07 14:51 (5218 d 04:34 ago) @ bjkim97 Posting: # 6402 Views: 17,245 |
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Dear Byung-Ju, ❝ And this other I suggest to my opinion ❝ ... A man having his own opinion is always preferable ![]() But as John Moore said: "Your opinion is your opinion, your perception is your perception - do not confuse them them with 'facts' or 'truth' ... " (the rest of this quote may be somewhat bothering). You are totally right if the point estimator and the CV you have used in your sample size estimation (taken from a particular study - why that and not the PAR studies?) are the true values, are "carved in stone" - Helmut's favourite terminology. Have a look at this thread for another strong opinion ![]() Eventually are some thoughts mentioned there worth considering them. — Regards, Detlew |
bjkim97 ☆ Korea / Seoul, 2011-01-11 07:47 (5214 d 11:38 ago) (edited on 2011-01-11 09:47) @ d_labes Posting: # 6408 Views: 17,015 |
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Dear d_labes Thanks your good advice... You take a carrot and stick approach. ![]() I accept with your opinion. It was hasty of me to do such a thing From now on I do carefully considered when expressed my opinion (The boughs that bear most hang lowest. ![]() Very very thanks... Byung-Ju Kim Edit: Full quote removed. Please delete anything from the text of the original poster which is not necessary in understanding your answer; see also this post! [Ohlbe] |
joy_fm ☆ Indonesia, 2015-02-05 14:10 (3728 d 05:16 ago) @ bjkim97 Posting: # 14378 Views: 14,909 |
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Hi Byung-Ju Kim, would you mind to send the journal publication as you mentioned above, since I can't access the link. Best regards joy_fm |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2015-02-05 14:24 (3728 d 05:01 ago) @ joy_fm Posting: # 14379 Views: 14,970 |
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Hi Joy, ❝ would you mind to send the journal publication as you mentioned above, since I can't access the link. Byung-Ju was referring to MHRA’s public assessment reports – not a paper. The URL is not active any more. Try this search. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
joy_fm ☆ Indonesia, 2015-02-10 18:38 (3723 d 00:47 ago) @ Helmut Posting: # 14398 Views: 14,682 |
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Dear Helmut, thank you for your information. I'm sorry, but I still can't find journal which states CV AUCt for Montelukast. Regards joy_fm |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2015-02-11 03:05 (3722 d 16:20 ago) @ joy_fm Posting: # 14399 Views: 14,791 |
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Hi Joy, ❝ I'm sorry, but I still can't find journal which states CV AUCt for Montelukast. Some people think to be very clever and don’t give the CV in the results. However, the CV can be calculated from the CI and sample size (formulas for 2×2 crossover studies). Example from the first hit in ![]() I suggest to get the free statistical software PowerTOST (you will need it sooner or later, believe me)… Once you installed it, try the nice function CVfromCI() :library(PowerTOST) — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2015-02-11 14:01 (3722 d 05:24 ago) @ d_labes Posting: # 14402 Views: 14,597 |
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Dear Detlew, ❝ [peer_review] ❝ "Abstract ❝ ... tablets in twenty-four healthy volunteers ..." ❝ [/peer_review] [response_to_reviewer]
![]() ❝ BTW: CI2CV() is the same function as CVfromCI() and was only "invented" because my brain was not able to remember which name was implemented by me. Understandable. I always use CI2CV() as well.— Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
ElMaestro ★★★ Denmark, 2015-02-11 14:36 (3722 d 04:50 ago) @ Helmut Posting: # 14403 Views: 14,448 |
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Hi Hotzi, ❝ Why two male subjects were “retired” (to keep balance?) – thus decreasing power – is beyond me. ❝ [/response_to_reviewer] [humor] Because they used Kinetica ![]() [/humor] — Pass or fail! ElMaestro |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2015-02-11 15:27 (3722 d 03:59 ago) @ ElMaestro Posting: # 14404 Views: 15,014 |
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Hi ElMaestro, ❝ [humor] ❝ Because they used Kinetica ❝ [/humor] Nope: “For the statistical analysis of data derived from this in vivo study; general parametric procedures for linear models (normal theory) were used and an analysis of variance (ANOVA) was performed using the statistical application Phoenix™ WinNonlin®; version 6.3; 2013.” BTW (Dec 24 2014, source)… Kinetica 5.1 SP1 has been released Thermo Fisher Scientific is very pleased to announce the release of Kinetica 5.1 SP1. Kinetica now supports unbalanced data sets for two period, two treatments, two sequences Bioequivalence studies. This issue was first reported in the Journal of the American Association of Pharmaceutical Scientists (AAPS) article entitled, "Reference Datasets for 2-Treatment, 2-Sequence, 2-Period Bioequivalence Studies. The article described the validation of software used to assess bioequivalence and reported that results from Kinetica software differed from other similar software when unbalanced datasets were used (results for balanced datasets were consistent across all of the software packages). Please find the […] issues fixed below: Issue Description Incorrect equations used for bioequivalence determination in unbalanced datasets – Point Estimate and 90% Upper and Lower limit calculation for Latin Square 2 Formulations statistical analysis. Do you expect that Thermo fixed the bug for parallel designs as well? I don’t. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
d_labes ★★★ Berlin, Germany, 2015-02-11 15:59 (3722 d 03:26 ago) @ Helmut Posting: # 14405 Views: 14,485 |
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Dear Helmut, @Abstract: This is a case for showing the effectiveness of a 'peer' review ![]() @Kinetica: ❝ Kinetica 5.1 SP1 has been released ❝ ... This issue was first reported in the Journal of the American Association of Pharmaceutical Scientists (AAPS) article entitled, "Reference Datasets for 2-Treatment, 2-Sequence, 2-Period Bioequivalence Studies... We know it better ![]() — Regards, Detlew |
ElMaestro ★★★ Denmark, 2015-02-11 16:49 (3722 d 02:36 ago) @ d_labes Posting: # 14406 Views: 14,390 |
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Hi d_labes and Hötzi, at least we should give TFS partial credit because they acknowledge the existence of the issue and they are doing something about it. They could have decided to keep silent about it and do nuffin. No big deal. After all, only 0.0000000000000000000000001 (plusminus 10) % of the studies submitted for approval are evaluated with Kinetica ![]() Life is beautiful. — Pass or fail! ElMaestro |
ioanam ★ Romania, 2016-01-22 15:17 (3377 d 04:08 ago) @ ElMaestro Posting: # 15845 Views: 11,214 |
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Dear ElMaestro, dear all since I have the "privilege" to work sometimes with Kinetica, I obtained the new version 5.1 SP1 pack released by Thermo Fisher in 2014, where they fixed the statistical part for the unbalanced studies. Compared to the previous version, they mention now at the end of analysis: - ANOVA analysis: Point estimate and confidence interval derived from the least squares estimate (marginal means). - for a balanced study and for incomplete block analysis: Point estimate and confidence interval derived from the arithmetic means. Perhaps I am wrong, but calculation based by arithmetic means cannot give bias in such studies? Wish you a happy weekend. Ioana |
ElMaestro ★★★ Denmark, 2016-01-22 15:58 (3377 d 03:27 ago) @ ioanam Posting: # 15846 Views: 11,164 |
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Hi Ioana, ❝ since I have the "privilege" to work sometimes with Kinetica, I obtained the new version 5.1 SP1 pack released by Thermo Fisher in 2014, where they fixed the statistical part for the unbalanced studies. May I recommend to Format C: ❝ Compared to the previous version, they mention now at the end of analysis: ❝ - ANOVA analysis: Point estimate and confidence interval derived from the least squares estimate (marginal means). - for a balanced study ❝ and for incomplete block analysis: Point estimate and confidence interval derived from the arithmetic means. ❝ ❝ Perhaps I am wrong, but calculation based by arithmetic means cannot give bias in such studies? Yes, this sounds odd. Arithmetic means would work for parallel trials, but not necessarily for crossovers. It could be a misunderstanding or a matter of wording. Try and look up in the documentation what is going on - how it is calculated in practice, and please keep us posted ![]() — Pass or fail! ElMaestro |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2016-01-22 16:06 (3377 d 03:19 ago) @ ElMaestro Posting: # 15847 Views: 11,240 |
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Hi Ioana, ❝ ❝ since I have the "privilege" to work sometimes with Kinetica, I obtained the new version 5.1 SP1 pack released by Thermo Fisher in 2014, where they fixed the statistical part for the unbalanced studies. ❝ ❝ May I recommend to ![]() BTW, Kinetica 5.1 SP1 did not fix the bug for parallel studies with unequal group sizes. Wrong as it ever was. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |