Description Usage Arguments Details Value Author(s) References See Also Examples
Calculates the index of achievable efficacy, or IAE, (a measure of a drug combination's efficacy relative to toxicological and pharmacological constraints) based on a response surface representation of a combination in the form of a full BRAID surface parameter vector.
1 | calculateIAE(parv, lev, macs, same = FALSE)
|
parv |
a full 10-element BRAID surface parameter vector |
lev |
a single value or vector representing the effect level or levels at which the IAE should be calculated |
macs |
the maximum achievable concentrations of the two drugs whose effects are represented by the response surface. A single value may be given, which will be used for both drugs |
same |
a boolean variable representing whether the two drugs in the combination are
believed to be the same drug (their dose-response parameters need not be identical). If
|
The IAE is a measure of the aggregate ratio of achievable dose-pairs for a given combination and the minimum dose pairs required to achieve a given effect. Formally, it is defined as
IAE = (Int(AC)[dDA dDB]/Int(AC)[(1-H[(EAB(DA,DB)-E)/(Ef-E)])dDA dDB])^(1/2)
where AC is the space of all achievable dose pairs as determined by pharmacological or
toxicological constraints. In this function, this space is represented either as a rectangular
region in dose-pair-space bounded by the two values in the parameter macs
(when same
is FALSE
) or the lower triangular region of dose-pair-space in which the sum of the two
doses is less than the single value in macs
(when same
is TRUE
).
A single value or vector of values containing the estimated IAE for the response surface at the
effect level or levels specified in lev
.
Nathaniel R. Twarog
Twarog, N.R., Stewart, E., Vowell Hamill, C., and Shelat, A. BRAID: A Unifying Paradigm for the Analysis of Combined Drug Action. Scientific Reports In Press (2016).
1 2 3 4 5 | data(es8analysis)
bfit <- es8analysis$braidFit
# Modelled effect is base-10 logarithm of cell survival relative to negative controls,
# so a level of -2 reflects 99% cell killing
calculateIAE(bfit$fullpar,c(-1,-2),c(1.015*10^-6,5*10^-5))
|
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