Description Usage Arguments Author(s) References See Also Examples
Compute the paediatric clearance according to the linear adjustment (LA) for a specific age.
1 | Clch.Linear(age, w, Clad, Wad)
|
age |
The age of child. |
w |
The weight of child. |
Clad |
The apparent clearance of adult. |
Wad |
Weight of adult (or average weight in the adult population). |
Artemis Toumazi artemis.toumazi@gmail.com, Caroline Petit caroline.petit@crc.jussieu.fr, Sarah Zohar sarah.zohar@inserm.fr
Petit, C., et al, (2016) Unified approach for extrapolation and bridging of adult information in early phase dose-finding paediatric studies, Statistical Methods in Medical Research, <doi:10.1177/0962280216671348>.
Johnson T., Rostami-Hodjegan A. and Tucker G. (2006) Prediction of clearance of eleven drugs and associated variability in neonates, infants and children, Clin. Pharmacokinet., 45:931-956.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
########
# Note: For this example we are using a paediatric database that we have including data of
# children from 0 to 19 years old.
########
children <- read.csv("/Users/artemistoumazi/paediatric_data_p3m/children_0_19.csv")
AGE <- children$Age
W <- children$Weight
W_ad <- 70
Cl_ad <- 3.95
Clch.Linear(AGE, W, Cl_ad, W_ad)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.