findATE2 {cobenrich} | R Documentation |
Find the cutoff values of biomarkers based on the average subpopulation treatment effect
Description
Find the cutoff values of biomarkers based on the average subpopulation treatment effect
Usage
findATE2(z2interval, kkk, muminusmu0, kappa, rhovec, sigma, cDel)
Arguments
z2interval |
a numeric vector of two values, including the lower and upper limits of the initial interval for z2 |
kkk |
the researchers' weighting preference between the two biomarkers |
muminusmu0 |
a number of the difference between the mean of outcome and the minimal clinically important treatment effect |
kappa |
a number of the correlation coefficient between two biomarkers |
rhovec |
a numeric vector of two correlation coefficients between the output and two biomarkers |
sigma |
a number of the standard deviation of outcome |
cDel |
the desired average subpopulation treatment effect |
Value
a numeric vector of two values which are the cutoff values for z1 and z2
Author(s)
Jiangtao Gou
Fengqing Zhang
References
Zhang, F. and Gou, J. (2025). Using multiple biomarkers for patient enrichment in two-stage clinical designs. Technical Report.
Examples
z2interval <- c(-5, 5)
kkk <- 1
muminusmu0 <- 1.8
kappa <- 0.1
rhovec <- c(0.1, 0.2)
sigma <- 1
cDel <- 2.5
findATE2(z2interval, kkk, muminusmu0, kappa, rhovec, sigma, cDel)