mHP.c: Compute the efficacy boundary (modified Haybittle-Peto) for...

Description Usage Arguments References

Description

Compute the efficacy boundary (modified Haybittle-Peto) for the final (third) stage

Usage

1
mHP.c(prevalence, N, cov.J, mu.prime, Sigma.prime, alpha, btilde, b, theta)

Arguments

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

References

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


ASSISTant documentation built on May 6, 2019, 1:02 a.m.