mHP.c {ASSISTant} | R Documentation |
Compute the efficacy boundary (modified Haybittle-Peto) for the final (third) stage
mHP.c(prevalence, N, cov.J, mu.prime, Sigma.prime, alpha, btilde, b, theta)
prevalence |
the vector of prevalences between 0 and 1 summing to 1. J, the number of groups, is implicitly the length of this vector and should be at least 2. |
N |
a three-vector of total sample size at each stage |
cov.J |
the 3 x 3 covariance matrix for Z_J at each of the three stages |
mu.prime |
a list of J mean vectors, each of length J-1 representing the conditional means of all the other Z_j given Z_i. This mean does not account for the conditioned value of Z_i and so has to be multiplied by that during use! |
Sigma.prime |
a list of J covariance matrices, each J-1 by J-1 representing the conditional covariances all the other Z_j given Z_i |
alpha |
the amount of type I error to spend |
btilde |
the futility boundary |
b |
the efficacy boundary for the first two stages |
theta |
the effect size on the probability scale |
Adaptive Choice of Patient Subgroup for Comparing Two Treatments by Tze Leung Lai and Philip W. Lavori and Olivia Yueh-Wen Liao. Contemporary Clinical Trials, Vol. 39, No. 2, pp 191-200 (2014). http://www.sciencedirect.com/science/article/pii/S1551714414001311