auc.complete {PK}R Documentation

Estimation of the Area Under the Concentration Time Curve in Complete Data Designs

Description

Non-compartmental estimation of area under the concentration time curve (AUC) and area under the first moment curve (AUMC) in complete data designs.

Usage

auc.complete(conc, time, exact=NA, n.interpolate=2, n.tail=3) 

Arguments

conc A vector of concentration levels.
time A vector of time points of concentration assessment. One time point for each concentration measured needs to be specified.
exact Time point for linear interpolation/extrapolation (default=NA).
n.interpolate Number of last data points used for linear interpolation/extrapolation (default=2).
n.tail Number of last data points used for tail area estimation (default=3).

Details

Estimation of the area under the concentration time curve (AUC 0-tlast) and area under the first moment curve (AUMC 0-tlast) for complete data designs. AUC and AUMC (from 0 to the last time point) are calculated using the linear trapezoidal rule at the different time points.

Estimation of the linearly interpolated area under the concentration time curve (AUC 0-exact) and linearly interpolated area under the moment curve (AUMC 0-exact). The time point for linear interpolation/extrapolation must be after the last but one time point of concentration assessments.

Estimation of the total area under the concentration curve (AUC 0-infinity) and total area under the first moment curve (AUMC 0-infinity) by using a tail area correction similar as suggested by Perrier and Gibaldi (Appendix D, 1982).

Value

An object of the class PK including AUC and AUMC estimates.

Author(s)

Martin J. Wolfsegger and Thomas Jaki

References

Cawello W. (2003). Parameters for Compartment-free Pharmacokinetics. Standardisation of Study Design, Data Analysis and Reporting. Shaker Verlag, Aachen.

Gibaldi M. and Perrier D. (1982). Pharmacokinetics. 2nd Edition. Marcel Dekker, New York and Basel.

See Also

auc, auc.ci, auc.test.

Examples

## example for a complete data design from Cawello W. (2003, page 70 and 74)
time <- c(0, 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3, 4, 5, 6)
conc <- c(0, 5.67, 20.6, 28.7, 22.5, 17.4, 17.7, 13.4, 11.0, 8.23, 5.14, 2.84) 

# using a vector for both concentration and time
auc.complete(conc=conc, time=time, exact=7, n.tail=4)


[Package PK version 1.00 Index]