priorChoice: Decision function for the choice of variance (sigmaHI or...

In artemis-toumazi/dfped: Extrapolation and Bridging of Adult Information in Early Phase Dose-Finding Paediatrics Studies

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 [e-mail], Caroline Petit [e-mail], Sarah Zohar [e-mail]

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

doseChoice

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)

artemis-toumazi/dfped documentation built on May 10, 2019, 1:49 p.m.