Applied Pharmacokinetics: Bayesian and Regression Methods

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Flashcards covering pharmacokinetic parameter estimation using regression and Bayesian analysis based on the lecture notes by Reza Mehvar, Ph.D.

Last updated 4:46 AM on 7/19/26
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13 Terms

1
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What is the first step involved in the individualization of a dosage regimen?

Design of initial dosage regimen

2
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What is the second step involved in the individualization of a dosage regimen?

Estimation of patient-specific pharmacokinetic parameters

3
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What is the third step involved in the individualization of a dosage regimen?

Adjustment of dosage regimen

4
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What are the two primary methods used to calculate patient-specific kinetic parameters from plasma samples?

Regression analysis or Bayesian analysis

5
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If measured plasma concentrations agree with population-predicted values, what action is necessary?

No dosage adjustment is necessary.

6
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What should be done if measured plasma concentrations are 'inappropriate'?

Patient-specific kinetic parameters

7
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What is 'population error' or variability in pharmacokinetics?

Inter-subject variability

8
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What are the two identified causes of random (observation) error?

Errors in the analytical method and Assumptions of the kinetic model

9
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When is nonlinear regression required in pharmacokinetics?

Relationship between variables is nonlinear

10
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What is it called when The process of repeatedly changing kinetic values slightly and recalculating the estimated plasma concentrations until the sum of squares is no longer reduced?

iteration

11
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What is the 'middle-of-the-road' approach that uses both population and individual patient data?

Bayesian analysis

12
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How many samples are at minimum required for regression methods to estimate patient-specific parameters?

At least two samples

13
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Which method is generally superior when measurement error is present (as is always the case in practice)?

Bayesian method