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auc() Function in PK R Package
How to use the auc() function in PK R Package?
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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
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⇒ Simple Pharmacokinetics Script in Python
⇠"Rats" Data Frame in PK R Package
⇑ PK (Pharmacokinetic) Modeling Tools
⇑⇑ PK/PD Tutorials
2021-05-04, 799🔥, 0💬
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