MCpower: MC power for selecting the best regime in SMART

In wangjunyao0121/RASMART: Response Adaptive Sequencial Multiple Assignments Randomized Trial

Description

MC power for selecting the best regime in SMART

Usage

MCpower(
  Q = c(0.5, 0.5, 0.5),
  pi1 = c(0.4, 0.35, 0.25),
  pi2 = c(0.35, 0.32, 0.36, 0.56, 0.37, 0.4),
  P = c(1/3, 1/3, 1/3),
  n = 365,
  m = 10000,
  seed = 2021
)

Arguments

Q	a vector of (Q12, Q21, Q31) for second stage randomization probability in SMART
pi1	the respond rate of treatment 1, 2, 3 in stage I in SMART
pi2	the respond rate for patients who do not respond to a treatment in stage I, but respond to another treatment in stage II
P	Randomization probability in stage I
n	Sample size in SMART
m	number of Monte Carlo repetitions
seed	seed for generate MC repetitions

Examples

seed = 2021
Q = c(0.5, 0.5, 0.5)
pi1 = c(0.4, 0.35, 0.25)
pi2 = c(0.35, 0.32, 0.36, 0.56, 0.37, 0.4)
P = c(1/3, 1/3, 1/3)
n = 365
m = 10000

MCpower(Q, pi1, pi2, P, n, m, seed)

wangjunyao0121/RASMART documentation built on Dec. 23, 2021, 5:07 p.m.