Skip to contents

Simulate group sequential cluster-randomized trial.

Usage

gsSimCRT(design, data, stat = c("Z_known", "Z_unknown", "t_unknown"))

Arguments

design

Object of class gsDesignCRT specifying the group sequential cluster-randomized trial design.

data

Simulated outcomes. Should be an n x 4 matrix with the columns encoding the treatment arm, cluster, individual, and response.

stat

Type of test statistic to use. Options are "Z_known", "Z_unknown", and "t_unknown".

Value

Object containing the following elements:

reject

Whether the null hypothesis was rejected in the simulated trial.

k_i

Interim analysis at which simulated trial was stopped.

m_i

Number of clusters per arm when the simulated trial was stopped.

n_i

Average number of individuals per cluster when the simulated trial was stopped.

total_i

Total number of individuals per arm when the simulated trial was stopped.

i_frac

Information fraction when the simulated trial was stopped.

Author

Lee Ding lee_ding@g.harvard.edu