weightCYPsum: Proportion of the molecule metabolised by the CYPs for a...
In artemis-toumazi/dfped: Extrapolation and Bridging of Adult Information in Early Phase Dose-Finding Paediatrics Studies
Description
Usage
Arguments
Author(s)
References
See Also
Examples
Description
Proportion of the molecule metabolised by the CYPs. A weighted sum is computed. For each CYP, the proportion metabolised in adults is multiplied with the fraction of CYP (KCYP) available for a child according to age.
Usage
1
weightCYPsum(age, percCYP)
Arguments
age
The age of child.
percCYP
Dataframe giving the percentage of the molecule metabolised for each cytochrome in adults. Dataframe with two column - column 1: CYP name, column 2: percentage of the molecule metabolised.
Author(s)
Artemis Toumazi artemis.toumazi@gmail.com,
Caroline Petit caroline.petit@crc.jussieu.fr,
Sarah Zohar sarah.zohar@inserm.fr
References
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>.
See Also
Examples
1
2
3
age <- 2
perc_CYP <- data.frame("CYP3A4_5" = 0.7, "CYP1A2" = 0.3)
weightCYPsum(age, perc_CYP)
artemis-toumazi/dfped documentation built on May 10, 2019, 1:49 p.m.
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Description Usage Arguments Author(s) References See Also Examples
Description
Proportion of the molecule metabolised by the CYPs. A weighted sum is computed. For each CYP, the proportion metabolised in adults is multiplied with the fraction of CYP (KCYP) available for a child according to age.
Usage
1 | weightCYPsum(age, percCYP)
|
Arguments
age |
The age of child. |
percCYP |
Dataframe giving the percentage of the molecule metabolised for each cytochrome in adults. Dataframe with two column - column 1: CYP name, column 2: percentage of the molecule metabolised. |
Author(s)
Artemis Toumazi artemis.toumazi@gmail.com, Caroline Petit caroline.petit@crc.jussieu.fr, Sarah Zohar sarah.zohar@inserm.fr
References
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>.
See Also
Examples
1 2 3 | age <- 2
perc_CYP <- data.frame("CYP3A4_5" = 0.7, "CYP1A2" = 0.3)
weightCYPsum(age, perc_CYP)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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