| priorChoice {dfped} | R Documentation |
Decision function for the choice of variance (sigmaHI or sigmaLI) in the adaptive prior variance calibration.
Description
Algorithm of the decision function for the choice of variance (sigmaHI or sigmaLI) in the adaptive prior variance calibration.
Usage
priorChoice(tox, givenDose, skeletonTox, lesb)
Arguments
tox |
The vector of toxicity. |
givenDose |
The vector of doses given to patients so far. |
skeletonTox |
Skeleton of toxicity for the BMA bivariate CRM or the bivariate CRM model. |
lesb |
A vector containing the parameters b; (resp. 0 <- b1 < ... < bk < 1). |
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>.
Zhang J., Braun T., and J. Taylor. (2013) Adaptive prior variance calibration in the bayesian continual reassessment method. Stat. Med.
See Also
Examples
tox <- c(0.10, 0.21, 0.33, 0.55, 0.76)
givenDose <- 2
skeleton_tox1 <- c(0.10, 0.21, 0.33, 0.55, 0.76)
skeleton_tox2 <- c(0.21, 0.33, 0.55, 0.76, 0.88)
skeleton_tox3 <- c(0.05, 0.10, 0.21, 0.33, 0.55)
skeleton_tox4 <- c(0.025, 0.05,0.1, 0.21, 0.33)
skeleton_tox5 <- c(0.0125, 0.025, 0.05,0.1, 0.21)
skeletonTox <- data.frame(skeleton_tox1, skeleton_tox2, skeleton_tox3,
skeleton_tox4, skeleton_tox5)
lesb <- c(0.10, 0.16, 0.23, 0.25, 0.30)
priorChoice(tox, givenDose, skeletonTox, lesb)