calc_m_conj_test {crt2power} | R Documentation |
Calculate cluster size for a cluster-randomized trial with co-primary endpoints using the conjunctive intersection-union test approach.
Description
Allows user to calculate the cluster size of a cluster-randomized trial with two co-primary endpoints given a set of study design input values, including the number of clusters in each trial arm, and statistical power. Uses the conjunctive intersection-union test approach.
Usage
calc_m_conj_test(
power,
K,
alpha = 0.05,
beta1,
beta2,
varY1,
varY2,
rho01,
rho02,
rho1,
rho2,
r = 1,
cv = 0,
deltas = c(0, 0),
dist = "T"
)
Arguments
power |
Desired statistical power in decimal form; numeric. |
K |
Number of clusters in treatment arm, and control arm under equal allocation; numeric. |
alpha |
Type I error rate; numeric. |
beta1 |
Effect size for the first outcome; numeric. |
beta2 |
Effect size for the second outcome; numeric. |
varY1 |
Total variance for the first outcome; numeric. |
varY2 |
Total variance for the second outcome; numeric. |
rho01 |
Correlation of the first outcome for two different individuals in the same cluster; numeric. |
rho02 |
Correlation of the second outcome for two different individuals in the same cluster; numeric. |
rho1 |
Correlation between the first and second outcomes for two individuals in the same cluster; numeric. |
rho2 |
Correlation between the first and second outcomes for the same individual; numeric. |
r |
Treatment allocation ratio - K2 = rK1 where K1 is number of clusters in experimental group; numeric. |
cv |
Cluster variation parameter, set to 0 if assuming all cluster sizes are equal; numeric. |
deltas |
Vector of non-inferiority margins, set to delta_1 = delta_2 = 0; numeric vector. |
dist |
Specification of which distribution to base calculation on, either 'T' for T-Distribution or 'MVN' for Multivariate Normal Distribution. Default is T-Distribution. |
Value
A numerical value.
Examples
calc_m_conj_test(power = 0.8, K = 15, alpha = 0.05,
beta1 = 0.1, beta2 = 0.1, varY1 = 0.23, varY2 = 0.25,
rho01 = 0.025, rho02 = 0.025, rho1 = 0.01, rho2 = 0.05)