Sereng ☆ USA, 2023-05-24 17:41 (509 d 16:34 ago) Posting: # 23566 Views: 2,328 |
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Folks, I have three questions: (1) If you conduct a full replicate crossover design BE study (T x 2, R x 2, e.g., TRTR|RTRT) is there any sample size efficiency (fewer patients required) with ABE analysis or is it no different (in terms of sample size) than a non-replicate crossover design BE study (T x1, R x 1) with ABE analysis. (2) For demonstrably HVD (WSV >30%), why do some product specific guidance for ANDA suggest (or allow) full replicate designs and others do not mention this approach? (3) For demonstrably HVD (WSV >30%), why do some Clinical Divisions object to use of full replicate design studies in 505(b)(2) NDAs? Any input would be appreciated! — Biostatistically Challenged CEO |
dshah ★★ India, 2023-05-25 11:56 (508 d 22:19 ago) @ Sereng Posting: # 23569 Views: 1,882 |
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HI Sereng! ❝ (1) If you conduct a full replicate crossover design BE study (T x 2, R x 2, e.g., TRTR|RTRT) is there any sample size efficiency (fewer patients required) with ABE analysis or is it no different (in terms of sample size) than a non-replicate crossover design BE study (T x1, R x 1) with ABE analysis. The number of observations will be same but the sample size will be half in fully replicate design compared to standard CO study. ❝ (2) For demonstrably HVD (WSV >30%), why do some product specific guidance for ANDA suggest (or allow) full replicate designs and others do not mention this approach? For HVD, the fully replicate/partial replicate can be helpful for widening of 90% CI limit based on regulatory agency for particular PK parameters. Ethically, due to widening of 90% CI, the sample size will be less than if it has be to standard limit of 80-125%. ❝ (3) For demonstrably HVD (WSV >30%), why do some Clinical Divisions object to use of full replicate design studies in 505(b)(2) NDAs? Regards, Divyen |
Helmut ★★★ Vienna, Austria, 2023-05-25 18:27 (508 d 15:48 ago) @ Sereng Posting: # 23570 Views: 1,911 |
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Hi Sereng, I agree with Divyen’s post. Maybe this article helps as well. Furthermore, if in a TRTR|RTRT-design a subject drops out in period 3 or 4, he/she can be kept in the analysis – and would not be completely lost like a dropout in period 2 of a 2×2×2 Xover. — 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 |