Simulate cluster-randomized trial data with binary outcomes

Simulate cluster-randomized trial data with binary outcomes

Usage

genBinCRT(m = 1, n = 1, p_vec = c(0.5, 0.5), rho = NULL)

Arguments

m

Number of clusters.

n

Mean size of each cluster.

p_vec

Probabilities of event for control and treatment groups.

rho

Intraclass correlation coefficient. Default value is 0.

Value

Simulated binary 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