simu_cov {psborrow}

Simulate covariates

Description

This function generates continuous and binary covariates through simulating from a multivariate normal distribution. Outcomes are further converted to binary variables using quantiles of the normal distribution calculated from the probability provided. Then the covariates are added to the external trial and treatment arm indicators.

Usage

simu_cov(ssObj, covObj, driftHR, HR, nsim, seed, path)

Arguments

ssObj

an object of class .covClass generated in set_n

covObj

an object of class .covClass generated in set_cov

driftHR

hazard ratio of external control and internal control arms

HR

a list of hazard ratio of treatment and control arms

nsim

number of simulation. Default is 5

seed

the seed of R‘s random number generator. Default is the first element of .Random.seed

path

file name for saving the output including folder path

Value

a list of matrix containing simulated covariates information

Examples

# simulate patient-level data with 1 continuous covariate
sample = set_n(ssC = 10, ssE = 20, ssExt = 40)
cov1 = set_cov(n_cat = 0, n_cont = 1, mu_int = 0, mu_ext = 0, var = 1)
simu_cov(ssObj = sample, covObj = cov1, HR = 0.5, driftHR = 1, nsim = 2)

# simulate patient-level data with 1 binary and 2 continuous covariate
cov2 = set_cov(n_cat = 1, n_cont = 2, mu_int = 0, mu_ext = 0, var = 1,
               cov = 0.3, prob_int = 0.2, prob_ext = 0.3)
simu_cov(ssObj = sample, covObj = cov2, HR = 0.5, driftHR = 1, nsim = 2)