PKS ☆ India, 2019-04-05 10:45 (2073 d 03:06 ago) Posting: # 20125 Views: 4,730 |
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Should I conclude bio-equivalence with the values of [-0.2025, 0.076] in clinical end point study. Can I assume it as within the interval of (-0.20, 0.20) Edit: Category changed; see also this post #1. Please follow the Forum’s Policy. [Helmut] |
ElMaestro ★★★ Denmark, 2019-04-05 10:51 (2073 d 03:00 ago) @ PKS Posting: # 20126 Views: 3,962 |
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Hello to you too, PKS, ❝ Should I conclude bio-equivalence with the values of [-0.2025, 0.076] in clinical end point study. Can I assume it as within the interval of (-0.20, 0.20) What does your protocol say on exactly that matter? — Pass or fail! ElMaestro |
nobody nothing 2019-04-05 11:04 (2073 d 02:47 ago) @ ElMaestro Posting: # 20127 Views: 3,957 |
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❝ What does your protocol say on exactly that matter? Educated guess: nuffin.... — Kindest regards, nobody |
PKS ☆ India, 2019-04-05 11:17 (2073 d 02:34 ago) @ ElMaestro Posting: # 20128 Views: 3,950 |
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❝ ❝ Should I conclude bio-equivalence with the values of [-0.2025, 0.076] in clinical end point study. Can I assume it as within the interval of (-0.20, 0.20) ❝ ❝ What does your protocol say on exactly that matter? My protocol says within (-0.20 and 0.20) |
Helmut ★★★ Vienna, Austria, 2019-04-05 12:53 (2073 d 00:58 ago) @ PKS Posting: # 20129 Views: 3,952 |
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Hi PKS, I reordered your quotes for clarity. ❝ My protocol says within (-0.20 and 0.20) ❝ ❝ ❝ Should I conclude bio-equivalence with the values of [-0.2025, 0.076] in clinical end point study. No! {–0.2025, +0.076} ⊄ {–0.20, +0.20} ∎ Furthermore, ±0.20 of what? Since you are working with untransformed data, possibly ∆ = ±20% of the arithmetic mean of the reference. This was used in the dark ages of BE as well. Hence, the limits were {1 – ∆, 1 + ∆} or {0.8000, 1.2000}. Do you think that {0.7975, 1.0760} would pass? Or do you want to want to deal directly with ∆ (as your protocol suggests) and round the CI to only 2–3* digits in order to pass the limits stated in your own protocol? ❝ Can I assume it as within the interval of (-0.20, 0.20) You can assume whatever you like. If you give us the design, sizes (per sequence in a crossover, of groups in a parallel), and the CV we can calculate the α (probability of type I error, aka patient’s risk). However, α will be >0.05 and hence, the chances that authorities will accept the study as proof of equivalence are extremely low.
— 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 |