Bayesian estimation in NONMEM
Abstract Bayesian estimation is a powerful but underutilized tool for answering drug development questions. In this tutorial, the principles of Bayesian model development, assessment, and prior selection will be outlined. An example pharmacokinetic (PK) model will be used to demonstrate the implemen...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
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Series: | CPT: Pharmacometrics & Systems Pharmacology |
Online Access: | https://doi.org/10.1002/psp4.13088 |
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author | Curtis K. Johnston Timothy Waterhouse Matthew Wiens John Mondick Jonathan French William R. Gillespie |
author_facet | Curtis K. Johnston Timothy Waterhouse Matthew Wiens John Mondick Jonathan French William R. Gillespie |
author_sort | Curtis K. Johnston |
collection | DOAJ |
description | Abstract Bayesian estimation is a powerful but underutilized tool for answering drug development questions. In this tutorial, the principles of Bayesian model development, assessment, and prior selection will be outlined. An example pharmacokinetic (PK) model will be used to demonstrate the implementation of Bayesian modeling using the nonlinear mixed‐effects modeling software NONMEM. |
first_indexed | 2024-03-08T01:58:07Z |
format | Article |
id | doaj.art-ae54291dd9fb46a69fd56bcbdb22f125 |
institution | Directory Open Access Journal |
issn | 2163-8306 |
language | English |
last_indexed | 2024-03-08T01:58:07Z |
publishDate | 2024-02-01 |
publisher | Wiley |
record_format | Article |
series | CPT: Pharmacometrics & Systems Pharmacology |
spelling | doaj.art-ae54291dd9fb46a69fd56bcbdb22f1252024-02-14T07:28:24ZengWileyCPT: Pharmacometrics & Systems Pharmacology2163-83062024-02-0113219220710.1002/psp4.13088Bayesian estimation in NONMEMCurtis K. Johnston0Timothy Waterhouse1Matthew Wiens2John Mondick3Jonathan French4William R. Gillespie5Metrum Research Group Tariffville Connecticut USAMetrum Research Group Tariffville Connecticut USAMetrum Research Group Tariffville Connecticut USAMetrum Research Group Tariffville Connecticut USAMetrum Research Group Tariffville Connecticut USAMetrum Research Group Tariffville Connecticut USAAbstract Bayesian estimation is a powerful but underutilized tool for answering drug development questions. In this tutorial, the principles of Bayesian model development, assessment, and prior selection will be outlined. An example pharmacokinetic (PK) model will be used to demonstrate the implementation of Bayesian modeling using the nonlinear mixed‐effects modeling software NONMEM.https://doi.org/10.1002/psp4.13088 |
spellingShingle | Curtis K. Johnston Timothy Waterhouse Matthew Wiens John Mondick Jonathan French William R. Gillespie Bayesian estimation in NONMEM CPT: Pharmacometrics & Systems Pharmacology |
title | Bayesian estimation in NONMEM |
title_full | Bayesian estimation in NONMEM |
title_fullStr | Bayesian estimation in NONMEM |
title_full_unstemmed | Bayesian estimation in NONMEM |
title_short | Bayesian estimation in NONMEM |
title_sort | bayesian estimation in nonmem |
url | https://doi.org/10.1002/psp4.13088 |
work_keys_str_mv | AT curtiskjohnston bayesianestimationinnonmem AT timothywaterhouse bayesianestimationinnonmem AT matthewwiens bayesianestimationinnonmem AT johnmondick bayesianestimationinnonmem AT jonathanfrench bayesianestimationinnonmem AT williamrgillespie bayesianestimationinnonmem |