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Estimation of pharmacokinetic parameters with the R package PK.

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

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Estimation of pharmacokinetic parameters with the R package PK. / Jaki, Thomas; Wolfsegger, Martin J.
In: Pharmaceutical Statistics, Vol. 10, No. 2, 05.2011, p. 284-288.

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

Harvard

Jaki, T & Wolfsegger, MJ 2011, 'Estimation of pharmacokinetic parameters with the R package PK.', Pharmaceutical Statistics, vol. 10, no. 2, pp. 284-288. https://doi.org/10.1002/pst.449

APA

Jaki, T., & Wolfsegger, M. J. (2011). Estimation of pharmacokinetic parameters with the R package PK. Pharmaceutical Statistics, 10(2), 284-288. https://doi.org/10.1002/pst.449

Vancouver

Jaki T, Wolfsegger MJ. Estimation of pharmacokinetic parameters with the R package PK. Pharmaceutical Statistics. 2011 May;10(2):284-288. doi: 10.1002/pst.449

Author

Jaki, Thomas ; Wolfsegger, Martin J. / Estimation of pharmacokinetic parameters with the R package PK. In: Pharmaceutical Statistics. 2011 ; Vol. 10, No. 2. pp. 284-288.

Bibtex

@article{00e0e0309b1747c687aead7aa2ddfb20,
title = "Estimation of pharmacokinetic parameters with the R package PK.",
abstract = "The study of the pharmacokinetic (PK) behavior of a compound is crucial to understand the absorbtion, distribution, metabolism and elimination of a drug by the body. PK studies involve measuring the concentration of the drug in the plasma or blood at several time points post drug administration. The classic complete data design samples each subject at all predefined time points. Ethical considerations and restrictions in blood volume, however, lead to incomplete data designs being frequently used instead. In serial sampling designs only one sample is taken from each subject, whereas batch designs take samples more than once from each subject, but not at all time points. In this manuscript the R package PK, which enables the computation of various PK parameters in complete and incomplete data designs, is introduced and some examples are given.",
keywords = "AUC, bioequivalence, pharmacokinetics, PK, R, toxicology",
author = "Thomas Jaki and Wolfsegger, {Martin J.}",
year = "2011",
month = may,
doi = "10.1002/pst.449",
language = "English",
volume = "10",
pages = "284--288",
journal = "Pharmaceutical Statistics",
issn = "1539-1604",
publisher = "John Wiley and Sons Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Estimation of pharmacokinetic parameters with the R package PK.

AU - Jaki, Thomas

AU - Wolfsegger, Martin J.

PY - 2011/5

Y1 - 2011/5

N2 - The study of the pharmacokinetic (PK) behavior of a compound is crucial to understand the absorbtion, distribution, metabolism and elimination of a drug by the body. PK studies involve measuring the concentration of the drug in the plasma or blood at several time points post drug administration. The classic complete data design samples each subject at all predefined time points. Ethical considerations and restrictions in blood volume, however, lead to incomplete data designs being frequently used instead. In serial sampling designs only one sample is taken from each subject, whereas batch designs take samples more than once from each subject, but not at all time points. In this manuscript the R package PK, which enables the computation of various PK parameters in complete and incomplete data designs, is introduced and some examples are given.

AB - The study of the pharmacokinetic (PK) behavior of a compound is crucial to understand the absorbtion, distribution, metabolism and elimination of a drug by the body. PK studies involve measuring the concentration of the drug in the plasma or blood at several time points post drug administration. The classic complete data design samples each subject at all predefined time points. Ethical considerations and restrictions in blood volume, however, lead to incomplete data designs being frequently used instead. In serial sampling designs only one sample is taken from each subject, whereas batch designs take samples more than once from each subject, but not at all time points. In this manuscript the R package PK, which enables the computation of various PK parameters in complete and incomplete data designs, is introduced and some examples are given.

KW - AUC

KW - bioequivalence

KW - pharmacokinetics

KW - PK

KW - R

KW - toxicology

U2 - 10.1002/pst.449

DO - 10.1002/pst.449

M3 - Journal article

VL - 10

SP - 284

EP - 288

JO - Pharmaceutical Statistics

JF - Pharmaceutical Statistics

SN - 1539-1604

IS - 2

ER -