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Training the next generation of pharmacometric modelers: a multisector perspective.
Bonate PL, Barrett JS, Ait-Oudhia S, Brundage R, Corrigan B, Duffull S, Gastonguay M, Karlsson MO, Kijima S, Krause A, Lovern M, Riggs MM, Neely M, Ouellet D, Plan EL, Rao GG, Standing J, Wilkins J, Zhu H. Bonate PL, et al. Among authors: duffull s. J Pharmacokinet Pharmacodyn. 2024 Feb;51(1):5-31. doi: 10.1007/s10928-023-09878-4. Epub 2023 Aug 13. J Pharmacokinet Pharmacodyn. 2024. PMID: 37573528
Correction to: Training the next generation of pharmacometric modelers: a multisector perspective.
Bonate PL, Barrett JS, Ait-Oudhia S, Brundage R, Corrigan B, Duffull S, Gastonguay M, Karlsson MO, Kijima S, Krause A, Lovern M, Riggs MM, Neely M, Ouellet D, Plan EL, Rao GG, Standing J, Wilkins J, Zhu H. Bonate PL, et al. Among authors: duffull s. J Pharmacokinet Pharmacodyn. 2024 Feb;51(1):89. doi: 10.1007/s10928-023-09885-5. J Pharmacokinet Pharmacodyn. 2024. PMID: 37670078 No abstract available.
Optimal sample selection applied to information rich, dense data.
Wang D, Hung T, Hung N, Glue P, Jackson C, Duffull S. Wang D, et al. Among authors: duffull s. J Pharmacokinet Pharmacodyn. 2024 Feb;51(1):33-37. doi: 10.1007/s10928-023-09883-7. Epub 2023 Aug 10. J Pharmacokinet Pharmacodyn. 2024. PMID: 37561265
278 results