Home > Research > Publications & Outputs > Non-compartmental estimation of pharmacokinetic...

Research

Associated organisational unit

Links

Text available via DOI:

Keywords

View graph of relations

Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs. / Wolfsegger, Martin J.; Jaki, Thomas.
In: Journal of Pharmacokinetics and Pharmacodynamics, Vol. 36, No. 5, 10.2009, p. 479-494.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Wolfsegger, MJ & Jaki, T 2009, 'Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs.', Journal of Pharmacokinetics and Pharmacodynamics, vol. 36, no. 5, pp. 479-494. https://doi.org/10.1007/s10928-009-9133-9

APA

Wolfsegger, M. J., & Jaki, T. (2009). Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs. Journal of Pharmacokinetics and Pharmacodynamics, 36(5), 479-494. https://doi.org/10.1007/s10928-009-9133-9

Vancouver

Wolfsegger MJ, Jaki T. Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs. Journal of Pharmacokinetics and Pharmacodynamics. 2009 Oct;36(5):479-494. doi: 10.1007/s10928-009-9133-9

Author

Wolfsegger, Martin J. ; Jaki, Thomas. / Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs. In: Journal of Pharmacokinetics and Pharmacodynamics. 2009 ; Vol. 36, No. 5. pp. 479-494.

Bibtex

@article{256f7fb102cc40a98bc733bf7bf1a1da,
title = "Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs.",
abstract = "Pharmacokinetic studies are commonly analyzed using a two-stage approach where the first stage involves estimation of pharmacokinetic parameters for each subject separately and the second stage uses the individual parameter estimates for statistical inference. This two-stage approach is not applicable in sparse sampling situations where only one sample is available per subject. Nonlinear models are often applied to analyze pharmacokinetic data assessed in such serial sampling designs. Modelling approaches are suitable provided that the form of the true model is known, which is rarely the case in early stages of drug development. This paper presents an alternative approach to estimate pharmacokinetic parameters based on non-compartmental and asymptotic theory in the case of serial sampling when a drug is given as an intravenous bolus. The statistical properties of the estimators of the pharmacokinetic parameters are investigated and evaluated using Monte Carlo simulations.",
keywords = "Asymptotic - Non-compartmental - Pharmacokinetics - PK parameters - Serial sampling - Sparse sampling",
author = "Wolfsegger, {Martin J.} and Thomas Jaki",
year = "2009",
month = oct,
doi = "10.1007/s10928-009-9133-9",
language = "English",
volume = "36",
pages = "479--494",
journal = "Journal of Pharmacokinetics and Pharmacodynamics",
issn = "1573-8744",
publisher = "Springer New York",
number = "5",

}

RIS

TY - JOUR

T1 - Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs.

AU - Wolfsegger, Martin J.

AU - Jaki, Thomas

PY - 2009/10

Y1 - 2009/10

N2 - Pharmacokinetic studies are commonly analyzed using a two-stage approach where the first stage involves estimation of pharmacokinetic parameters for each subject separately and the second stage uses the individual parameter estimates for statistical inference. This two-stage approach is not applicable in sparse sampling situations where only one sample is available per subject. Nonlinear models are often applied to analyze pharmacokinetic data assessed in such serial sampling designs. Modelling approaches are suitable provided that the form of the true model is known, which is rarely the case in early stages of drug development. This paper presents an alternative approach to estimate pharmacokinetic parameters based on non-compartmental and asymptotic theory in the case of serial sampling when a drug is given as an intravenous bolus. The statistical properties of the estimators of the pharmacokinetic parameters are investigated and evaluated using Monte Carlo simulations.

AB - Pharmacokinetic studies are commonly analyzed using a two-stage approach where the first stage involves estimation of pharmacokinetic parameters for each subject separately and the second stage uses the individual parameter estimates for statistical inference. This two-stage approach is not applicable in sparse sampling situations where only one sample is available per subject. Nonlinear models are often applied to analyze pharmacokinetic data assessed in such serial sampling designs. Modelling approaches are suitable provided that the form of the true model is known, which is rarely the case in early stages of drug development. This paper presents an alternative approach to estimate pharmacokinetic parameters based on non-compartmental and asymptotic theory in the case of serial sampling when a drug is given as an intravenous bolus. The statistical properties of the estimators of the pharmacokinetic parameters are investigated and evaluated using Monte Carlo simulations.

KW - Asymptotic - Non-compartmental - Pharmacokinetics - PK parameters - Serial sampling - Sparse sampling

U2 - 10.1007/s10928-009-9133-9

DO - 10.1007/s10928-009-9133-9

M3 - Journal article

VL - 36

SP - 479

EP - 494

JO - Journal of Pharmacokinetics and Pharmacodynamics

JF - Journal of Pharmacokinetics and Pharmacodynamics

SN - 1573-8744

IS - 5

ER -