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Gabapentin Population Model for PK Parameter Individualization
Generates individual PK parameters based on few samples and the population prior
Version 1.0 - published on 08 Dec 2011
This tool is closed source.
| Category | Tools |
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| Abstract | This tool uses a Bayesian approach based on Markov chain Monte Carlo sampling to estimate the posterior joint distribution of PK parameters for Gabapentin. The pharmacokinetic model is the single dose one-compartment model with first order absorption. The estimation uses a prior population distribution derived from 19 patients which allows characterizing a new patient with few blood samples. According to this, it is recommended to draw samples at 1.5h and 6.0h after drug administration. |
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