How to use the auc() function in PK R Package?

auc() function in the PK R package provides you estimation of confidence intervals for the area under the concentration versus time curve in complete and incomplete data designs.

Example from "Nedelman J. R., Gibiansky E. and Lau D. T. W. (1995). Applying Bailer’s method for AUC confi- dence intervals to sparse sampling. Pharmaceutical Research, 12(1):124-128".

> install.packages("PK")
> library(PK)

> conc = c(2790, 3280, 4980, 7550, 5500, 6650, 2250, 3220, 213, 636)
> time = c(1, 1, 2, 2, 4, 4, 8, 8, 24, 24)
> obj = auc(conc=conc, time=time, method=c("z", "t"), design="ssd")

> print(obj)
Estimation for a serial sampling design

             Estimate      SE            95% t-CI
AUC to tlast 59886.00 5752.50 (33477.66;86294.34)

             Estimate      SE            95% z-CI
AUC to tlast 59886.00 5752.50 (48611.31;71160.69)

> summary(obj)
Confidence intervals for a serial sampling design

 Point estimate

               est     se
AUC to tlast 59886 5752.5

 Confidence Intervals

                                                  lower    upper
95% CI using a t distribution for AUC to tlast 33477.66 86294.34
95% CI using a z distribution for AUC to tlast 48611.31 71160.69

degrees of freedom: 1.874534

 

⇒ Simple Pharmacokinetics Script in Python

⇐ "Rats" Data Frame in PK R Package

⇑ PK (Pharmacokinetic) Modeling Tools

⇑⇑ PK/PD Tutorials