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 10element 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 doseresponse parameters need not be identical). If

The IAE is a measure of the aggregate ratio of achievable dosepairs 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)[(1H[(EAB(DA,DB)E)/(EfE)])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 dosepairspace bounded by the two values in the parameter macs
(when same
is FALSE
) or the lower triangular region of dosepairspace 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$braidFit
# Modelled effect is base10 logarithm of cell survival relative to negative controls,
# so a level of 2 reflects 99% cell killing
calculateIAE(bfit$fullpar,c(1,2),c(1.015*10^6,5*10^5))

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