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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Methods for Non-Compartmental Pharmacokinetic Analysis With Observations Below the Limit of Quantification
AU - Barnett, H.Y.
AU - Geys, H.
AU - Jacobs, T.
AU - Jaki, T.
PY - 2021/1/2
Y1 - 2021/1/2
N2 - Pharmacokinetic (PK) studies are conducted to learn about the absorption, distribution, metabolism, and excretion processes of an externally administered compound by measuring its concentration in bodily tissue at a number of time points after administration. Two methods are available for this analysis: modeling and non-compartmental. When concentrations of the compound are low, they may be reported as below the limit of quantification (BLOQ). This article compares eight methods for dealing with BLOQ responses in the non-compartmental analysis framework for estimating the area under the concentrations versus time curve. These include simple methods that are currently used, maximum likelihood methods, and an algorithm that uses kernel density estimation to impute values for BLOQ responses. Performance is evaluated using simulations for a range of scenarios. We find that the kernel based method performs best for most situations.
AB - Pharmacokinetic (PK) studies are conducted to learn about the absorption, distribution, metabolism, and excretion processes of an externally administered compound by measuring its concentration in bodily tissue at a number of time points after administration. Two methods are available for this analysis: modeling and non-compartmental. When concentrations of the compound are low, they may be reported as below the limit of quantification (BLOQ). This article compares eight methods for dealing with BLOQ responses in the non-compartmental analysis framework for estimating the area under the concentrations versus time curve. These include simple methods that are currently used, maximum likelihood methods, and an algorithm that uses kernel density estimation to impute values for BLOQ responses. Performance is evaluated using simulations for a range of scenarios. We find that the kernel based method performs best for most situations.
KW - Below limit of quantification
KW - Kernel density estimation
KW - Noncompartmental analysis
KW - Pharmacokinetics
U2 - 10.1080/19466315.2019.1701546
DO - 10.1080/19466315.2019.1701546
M3 - Journal article
VL - 13
SP - 59
EP - 70
JO - Statistics in Biopharmaceutical Research
JF - Statistics in Biopharmaceutical Research
SN - 1946-6315
IS - 1
ER -