wxp ☆ China, 2013-03-29 10:31 (4407 d 05:13 ago) Posting: # 10307 Views: 6,036 |
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Dear all, We did a typical 2×2 cross-over study for BE study in 23 subjecct. The results (by WinNonlin 6.3) showed the power<0.8 and also not BE (in the "Average Bioequivalence" table). We want to try to evaluate the data by alpha =0.0294 (based on Potvin's Method C). But I did not find the option in WinNonlin. I wonder if anyone could tell me which software can do this? I think it sound a bit stupid, but I really hope someone could give me a favor. What I have and know: pharmacy background and have WinNonlin (learn on my own by the Guide), R (basic skill, but I hear the R package bear and PowerTost in the forum ![]() Thanks in advance! — Best regards, Xipei China |
ElMaestro ★★★ Denmark, 2013-03-29 11:38 (4407 d 04:05 ago) @ wxp Posting: # 10308 Views: 5,375 |
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Hello Xipei, ❝ We did a typical 2×2 cross-over study for BE study in 23 subjecct. The results (by WinNonlin 6.3) showed the power<0.8 and also not BE (in the "Average Bioequivalence" table). We want to try to evaluate the data by alpha =0.0294 (based on Potvin's Method C). Erm... is that really called for? I think alpha = 0.0294 will fail if alpha=0.05 failed. ❝ But I did not find the option in WinNonlin. I wonder if anyone could tell me which software can do this? I think it sound a bit stupid, but I really hope someone could give me a favor. ❝ What I have and know: pharmacy background and have WinNonlin (learn on my own by the Guide), R (basic skill, but I hear the R package bear and PowerTost in the forum I would use R, but this is just because that's all I have ![]() qt function with the alpha of your choice after you have the treatment effect and residual SS and df from an lm .Good luck. — Pass or fail! ElMaestro |
wxp ☆ China, 2013-04-02 12:06 (4403 d 04:37 ago) @ ElMaestro Posting: # 10325 Views: 4,805 |
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❝ Erm... is that really called for? I think alpha = 0.0294 will fail if alpha=0.05 failed. Thank you, ElMaestro. Yes, it fails, ![]() ❝ I would use R, but this is just because that's all I have I am trying to use R to handle the problem. It is a good experience. ![]() — Best regards, Xipei China |
krishna ☆ India, 2013-03-29 12:32 (4407 d 03:11 ago) @ wxp Posting: # 10309 Views: 5,176 |
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❝ We did a typical 2×2 cross-over study for BE study in 23 subjecct. The results (by WinNonlin 6.3) showed the power<0.8 and also not BE (in the "Average Bioequivalence" table). We want to try to evaluate the data by alpha =0.0294 (based on Potvin's Method C). Hi Xipei, In WinNonlin 5.2 version, you can put directly 94.12 in Confidence level option box. Check the same in your version. Regards, Krishna. |
wxp ☆ China, 2013-04-02 12:03 (4403 d 04:40 ago) @ krishna Posting: # 10324 Views: 4,810 |
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❝ In WinNonlin 5.2 version, you can put directly 94.12 in Confidence level option box. Check the same in your version. Thanks a lot, Krishna. It works in version 6.3. — Best regards, Xipei China |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2013-03-29 12:46 (4407 d 02:57 ago) @ wxp Posting: # 10310 Views: 5,196 |
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Hi Xipei! In the Bioequivalence Options set Confidence Level 94.12 . You will get (Potvin’s Example 2 after the second stage 2):Output Data > Average Bioequivalence and (if Core Output selected in General Options ):Bioequivalence Statistics BTW, ElMaestro is right. If you already failed with the 90% CI you will fail with the 94.12% CI as well (smaller α → wider 1–2×α CI). — 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 |
wxp ☆ China, 2013-04-02 12:20 (4403 d 04:23 ago) @ Helmut Posting: # 10326 Views: 4,802 |
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❝ In the Thank you very much for step-by-step explanation. Through this, I also know the core information in the core output file. ![]() ❝ BTW, ElMaestro is right. If you already failed with the 90% CI you will fail with the 94.12% CI as well (smaller α → wider 1–2×α CI). The result is the same as you said. — Best regards, Xipei China |