cor.mat {PlatformDesign} | R Documentation |
Calculate the correlation matrix of the z-statistics for a two-period K+M-experimental arm platform design with delayed arms
Description
Calculate the correlation matrix of the z-statistics in the two-period K+M-experimental arm platform design with delayed arms, given K, M, n, n0 and n0t.
Usage
cor.mat(K, M = 0, n, n0, n0t = NULL)
Arguments
K |
the number of experimental arms in the first period in a two-period K+M-experimental arm trial |
M |
the number of new experimental arms added in the beginning of the second period in a two-period K+M-experimental arm trial, default = 0 for calculating the correlation matrix of the Z-test statistics when used for a K-experimental arm trial |
n |
the sample size in each of the experimental arms in a two-period K+M-experimental arm trial |
n0 |
the sample size of the concurrent control for each experimental arm in a two-period K+M-experimental arm trial experimental arms |
n0t |
the number of patients already enrolled in the control arm when new experimental arms are added, default to NULL for calculating correlation matrix of the K-experimental arm trial |
Details
Given K, M, n, n0 and n0t, calculate the correlation matrix of the z-statistics in the two-period K+M experimental arm trial (with one common control arm).
Value
cormat, the correlation matrix of Z-test statistics in the two-period K+M-experimental arm trial with one common control arm, or that in the K-experimental arm trial when M = 0
Examples
cor.mat(K = 2, M = 0, n = 101, n0 = 143)
#$cormat
# [,1] [,2]
#[1,] 1.0000000 0.4139344
#[2,] 0.4139344 1.0000000
#
#$cor1
#[1] 0.4139344
#
#$cor2
#NULL
#
cor.mat(K = 2, M = 2, n = 107, n0 = 198, n0t = 43)
#$cormat
# [,1] [,2] [,3] [,4]
#[1,] 1.0000000 0.3508197 0.2746316 0.2746316
#[2,] 0.3508197 1.0000000 0.2746316 0.2746316
#[3,] 0.2746316 0.2746316 1.0000000 0.3508197
#[4,] 0.2746316 0.2746316 0.3508197 1.0000000
#
#$cor1
#[1] 0.3508197
#
#$cor2
#[1] 0.2746316