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Mahesh M ★ India, 2015-10-14 14:03 (3903 d 03:01 ago) Posting: # 15556 Views: 7,509 |
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Dear All, What is the sparse sample design? How it use in bioequivalence studies? Is it acceptable by regulatory body like FDA and EMA? I am very thankful to you please share some basics of that. Regards Mahesh |
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Helmut ★★★ ![]() Vienna, Austria, 2015-10-14 14:51 (3903 d 02:13 ago) @ Mahesh M Posting: # 15558 Views: 6,685 |
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Hi Mahesh, ❝ What is the sparse sample design? ⇐ click hereIn such a design only a few samples are collected from subjects. Hence, the name. Since Cmax, AUC, etc. are not directly accessible, it is always used together with a population pharmacokinetics (PopPK) model. This designs is mainly employed in the target population (patients). It is possible to collect as few as 2–3 samples / subject:
❝ How it use in bioequivalence studies? No way. BE requires “rich” data sets, where NCA / SHAM is used to calculate PK-metrics – as opposed to PK modeling, where PK-parameters are estimated.
❝ Is it acceptable by regulatory body like FDA and EMA? No.
— 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 |
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Mahesh M ★ India, 2015-10-14 15:55 (3903 d 01:09 ago) @ Helmut Posting: # 15560 Views: 6,200 |
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Thank you so much for your response. Please share your thougts on below artical Thomas Jaki, Philip Pallmann, and Martin J Wolfsegger Estimation in AB/BA crossover trials with application to bioequivalence studies with incomplete and complete data designs Stat Med. 2013;32(30):5469–83 doi 10.1002/sim.5886 Regards Edit: Journal and DOI added. [Helmut] |
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Helmut ★★★ ![]() Vienna, Austria, 2015-10-14 17:14 (3902 d 23:50 ago) @ Mahesh M Posting: # 15562 Views: 6,210 |
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Hi Mahesh, the paper should be read in conjunction with:
However, Thomas and Martin are members of the forum. They are by far more qualified than I am. ![]() — 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 |


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