findSATE2: Find the cutoff values of biomarkers based on the...

In cobenrich: Using Multiple Continuous Biomarkers for Patient Enrichment in Two-Stage Clinical Designs

Find the cutoff values of biomarkers based on the standardized average subpopulation treatment effect

Description

Find the cutoff values of biomarkers based on the standardized average subpopulation treatment effect

Usage

findSATE2(z2interval, kkk, muminusmu0, kappa, rhovec, sigma, cLam)

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
cLam	the desired standardized 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(-4, 4)
kkk <- 1
muminusmu0 <- 1.8
kappa <- 0.1
rhovec <- c(0.1, 0.2)
sigma <- 1
cLam <- 2.5
findSATE2(z2interval, kkk, muminusmu0, kappa, rhovec, sigma, cLam)

cobenrich documentation built on April 16, 2025, 1:10 a.m.