AUC.estim: Estimation of the area under the curve, AUC.

In artemis-toumazi/dfpk: Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for Phase I Clinical Trials

Estimation of the area under the curve, AUC.

Description

The AUC.estim function uses a compartmentl method or a non-compartmental method to estimate the AUC. In the field of pharmacokinetics, the area under the curve (AUC) is the area under the curve (mathematically known as definite integral) in a plot of concentration of drug in blood plasma against time. AUC is computed as the doses over the second pharmacokinetic's parameter, the clearance (CL).

Usage

AUC.estim(t, conc, dose, method = 2)

Arguments

t	A vector of the sampling time.
conc	The concentration of the drug in blood plasma.
dose	A vector of dose levels assigned to patients.
method	A string number specifying the method for calculation of AUC. Possible values are "1" for a compartmental method and "2" for non-compartmental method (default=2).

Author(s)

Artemis Toumazi [e-mail], Moreno Ursino [e-mail], Sarah Zohar [e-mail]

References

Ursino, M., et al, (2017) Dose-finding methods for Phase I clinical trials using pharmacokinetics in small populations, Biometrical Journal, <doi:10.1002/bimj.201600084>.

Toumazi, A., et al, (2018) dfpk: An R-package for Bayesian dose-finding designs using pharmacokinetics (PK) for phase I clinical trials, Computer Methods and Programs in Biomedicine, <doi:10.1016/j.cmpb.2018.01.023>.

See Also

pk.estim, nsim

Examples

#### A Compartmental method for calculation of AUC ###

dose = c(12.59972, 34.65492, 44.69007, 60.80685, 83.68946, 100.37111)
conc = c(20, 30, 40, 50, 60, 70)
t = seq(0, 24, length.out=48)
auc_estimation <- AUC.estim(t, conc, dose, method = 1)
auc_estimation 

artemis-toumazi/dfpk documentation built on Sept. 5, 2023, 2:44 a.m.