2017
DOI: 10.12793/tcp.2017.25.3.125
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Pharmacometric models simulation using NONMEM, Berkeley Madonna and R

Abstract: In this tutorial, we introduce a differential equation simulation model for use in pharmacometrics involving NONMEM, Berkeley Madonna, and R. We report components of the simulation code and similarities/differences between software, rather than how to use each software. Depending on the purpose of the simulation, an appropriate tool can be selected for effective communication.

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Cited by 6 publications
(7 citation statements)
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“…We fitted PK/PD models characterising the relationship between vonoprazan exposure and pH HTRs to data using NONlinear Mixed Effects Modelling (NONMEM®, version 7.4.1) 18 . Data management and plotting and tabulating results were performed in R version 4.1.3 19 …”
Section: Methodsmentioning
confidence: 99%
“…We fitted PK/PD models characterising the relationship between vonoprazan exposure and pH HTRs to data using NONlinear Mixed Effects Modelling (NONMEM®, version 7.4.1) 18 . Data management and plotting and tabulating results were performed in R version 4.1.3 19 …”
Section: Methodsmentioning
confidence: 99%
“…Dataset pre‐processing and figures were performed with R 4.0.2 (R Foundation for Statistical Computing, 2017) () and RStudio 1.3.1073 (RStudio Team, 2020) (). Berkeley‐Madonna 9.1.19 (Park, 2017) was used to test the basic model structure and the different feedback mechanisms. Population approach models were run in NONMEM 7.4 (Beal et al, 2009) (), and model management and simulations were carried out using Pirana 2.9.9 and PsN 4.9 (Keizer et al, 2013).…”
Section: Methodsmentioning
confidence: 99%
“…Berkeley-Madonna 9.1.19 (Park, 2017) was used to test the basic model structure and the different feedback mechanisms. Population approach models were run in NONMEM 7.4 (Beal et al, 2009) (RRID:…”
Section: Software Listmentioning
confidence: 99%
“…Simulation was used to estimate a target CSF concentration based on adult dosing schedules for celecoxib and parecoxib (valdecoxib is the active metabolite) 20,21 . Simulations of celecoxib (loading dose 200 mg, maintenance dose 100 mg kg −1 twice daily) and parecoxib (40 mg kg −1 three times daily) were performed using a differential equation solver model (Berkeley Madonna, Robert Macey and George Oster of the University of California, Berkeley, CA, USA) 22 for a typical 70 kg individual in order to estimate typical CSF NSAID concentrations. Pharmacokinetic parameter estimates described using the model developed in this analysis for celecoxib were taken from Table 1 while those for parecoxib, the intravenous parent drug of valdecoxib were from Tan et al 23 Remedication time for parecoxib of 8 h was used based on reports that weighted median time to remedication was 8.7 h for adult patients who had orthopedic or dental surgery 20 …”
Section: Methodsmentioning
confidence: 99%
“…Simulation was used to estimate a target CSF concentration based on adult dosing schedules for celecoxib and parecoxib (valdecoxib is the active metabolite). 20,21 Simulations of celecoxib (loading dose 200 mg, maintenance dose 100 mg kg −1 twice daily) and parecoxib (40 mg kg −1 three times daily) were performed using a differential equation solver model (Berkeley Madonna, Robert Macey and George Oster of the University of California, Berkeley, CA, USA) 22 for a typical 70 kg individual in order to estimate typical CSF NSAID concentrations.…”
Section: Estimation Of Csf Concentrationmentioning
confidence: 99%