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Bayesian estimation in NONMEM
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DOI：10.1002/psp4.13088.png)
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Abstract
En 中文
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.
Keywords:
MIXED-EFFECTS MODELS
PARAMETER UNCERTAINTY
PHARMACOMETRIC MODELS
PRIOR DISTRIBUTIONS
CONVERGENCE
VARIANCE
Journal
C
IF:
3
Papers:
1.1K
Citations:
4.1K
Organization
Cited Papers
Cardiovascular actions of N-allyl-clonidine (ST 567), a substance with specific bradycardic action
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