| mrt_binary_power {MRTSampleSizeBinary} | R Documentation |
Calculate power for binary outcome MRT
Description
Returns power of the hypothesis test of marginal excursion effect (see Details) given a specified sample size in the context of an MRT with binary outcomes with small sample correction using F-distribution. See the vignette for more details.
Usage
mrt_binary_power(avail_pattern, f_t, g_t, beta, alpha, p_t, gamma, n)
Arguments
avail_pattern |
A vector of length m that is the average availability at each time point |
f_t |
Defines marginal excursion effect MEE(t) under alternative together with beta. Assumed to be matrix of size m*p. |
g_t |
Defines success probability null curve together with alpha. Assumed to be matrix of size m*q. |
beta |
Length p vector that defines marginal excursion effect MEE(t) under alternative together with f_t. |
alpha |
Length q vector that defines success probability null curve together with g_t. |
p_t |
Length m vector of Randomization probabilities at each time point. |
gamma |
Desired Type I error |
n |
Sample size |
Value
Power of the test for fixed null/alternative and sample size.
Examples
mrt_binary_power(tau_t_1, f_t_1, g_t_1, beta_1,
alpha_1, p_t_1, 0.05, 100)