Description Usage Arguments Value Examples
This function returns the optimal acceptable dose number to assign the next patient cohort or stops the trial if no dose is deemed acceptable.
1 2 | AssignEffTox(YE, YT, Doses, Dose, DosesTried, Hypermeans, Hypervars,
Contour, PiLim, ProbLim, B)
|
YE |
Vector containing observed efficacy indicators. |
YT |
Vector containing observed toxicity indicators. |
Doses |
Vector containing numbered Doses of patients in trial. |
Dose |
Vector containing the standardized doses considered. |
DosesTried |
Binary vector corresponding to which doses have been tried. |
Hypermeans |
Vector containing prior hypermeans of length 6 for Eff-Tox parameters. |
Hypervars |
Vector containing prior hypervariances of length 6 for Eff-Tox parameters. |
Contour |
Vector containing 4 entries used to make the desireability function. Contour[1] contains a desired toxicity probability given efficacy, Countour[2] contains a desired efficacy probability given toxicity, and (Contour[3],Contour[4]) is an equally desireable pair of efficacy and toxicity probabilities that are non-zero or one. |
PiLim |
Vector of length two with PiLim[1] containing the acceptable lower limit on efficacy probability and PiLim[2] containing the acceptable upper limit on toxicity probability. |
ProbLim |
Vector of length two with ProbLim[1] containing the probability cutoff for acceptable efficacy probability and ProbLim[2] containing the probability cutoff for acceptable toxicity probability. |
B |
Number of iterations to perform in the MCMC. |
The optimal dose level to administer the next patient cohort.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ##Doses, YE,YT
Doses= c(1,1,1,2,2,2,1,1,1,3,3,3,1,1,1,2,2,2)
YE = c(0,0,1,1,1,0,0,0,0,1,1,1,0,0,1,1,1,0)
YT=c(0,0,0,1,1,0,1,0,0,1,1,1,0,0,0,1,0,0)
##Vector of Numerical Doses
Dose = c(1,2,3,3.5,5)
Dose=(Dose-mean(Dose))/sd(Dose)
##Five doses, but only 3 tried so we have
DosesTried=c(1,1,1,0,0)
## Contour Vector
Contour = c(.35, .75,.7,.4)
##Hypermeans
Hypermeans = c(.022,3.45,0,-4.23,3.1,0)
Hypervars = c(2.6761, 2.6852, .2, 3.1304, 3.1165, 1)
Hypervars=Hypervars^2
##Acceptability Criteria
PiLim = c(.3,.4)
ProbLim=c(.1,.1)
##Number of iterations
B=2000
AssignEffTox(YE,YT, Doses, Dose, DosesTried, Hypermeans, Hypervars, Contour, PiLim, ProbLim, B )
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