# NOT RUN {
# Corresponds to scenario 5 in Table 2 from Leifer, Troendle, et al. (2019).
rateC <- 0.0445 # one-year C group event rate
hrA <- 0.80
hrB <- 0.80
hrAB <- 0.72
mincens <- 4.0
maxcens <- 8.4
eventvec <- eventProb(rateC, hrA, hrB, hrAB, mincens, maxcens)
avgprob <- eventvec$avgprob
probAB_C <- 0.5 * (eventvec$probAB + eventvec$probC)
dig <- 2
alpha <- 0.05
corAa <- 1/sqrt(2)
corAab <- 1/sqrt(2)
coraab <- 1/2
critvals <- crit2x2(corAa, corAab, coraab, dig, alpha)
crit23A <- critvals$crit23A
crit23ab <- critvals$crit23ab
n <- 4600
power23_13(n, hrA, hrB, hrAB, avgprob, probAB_C,
crit23A, crit23ab, dig, cormat =
matrix(c(1, sqrt(0.5), sqrt(0.5), 1), byrow = TRUE,
nrow = 2), niter = 1, abseps = 1e-03)
# $poweroverA
# [1] 0.6582819
# $powerAB
# [1] 0.9197286
# $poweroverAandAB
# [1] 0.6490042
# $power23.13
# [1] 0.9290062
# }
Run the code above in your browser using DataCamp Workspace