Simulate cluster-randomized trial data with continuous outcomes

Simulate cluster-randomized trial data with continuous outcomes

Usage

genContCRT(m = 1, n = 1, mu_vec = c(0, 1), sigma_vec = c(1, 1), rho = 0)

Arguments

m

Number of clusters.

n

Mean size of each cluster.

mu_vec

Vector of means for control and treatment groups, respectively.

sigma_vec

Vector of standard deviations for control and treatment groups, respectively.

rho

Intraclass correlation coefficient. Default value is 0.

Value

Simulated continuous outcomes represented as an n x 4 matrix with the columns encoding the treatment arm, cluster, individual, and response.

Author

Lee Ding lee_ding@g.harvard.edu