Bayesian Individualization of Pharmacokinetics¶
Sheiner, L. B., & Beal, S. L. (1982). Bayesian Individualization of Pharmacokinetics: Simple Implementation and Comparison with Non-Bayesian Methods. Journal of Pharmaceutical Sciences, 71(12), 1344-1348.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Bayesian Dose Forecasting
- Update on each observation. When a measured level or biomarker arrives, compute the posterior — most implementations use maximum a posteriori (MAP) Bayesian estimation, which finds the parameter set that best balances the prior against the new measurement.
This sourceUses population pharmacokinetic information together with an individual's measured drug concentrations to estimate individual parameters for dose adjustment.
- Update on each observation. When a measured level or biomarker arrives, compute the posterior — most implementations use maximum a posteriori (MAP) Bayesian estimation, which finds the parameter set that best balances the prior against the new measurement.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:46142a1f6999 · see in the full table