# NOT RUN {
trialParameters <- list(minimumNumberOfEvents = 20,
minimumIncreaseInV = 0.2,
numberRecruitedEachYear = c(80, 120, 160, 160),
followupTime = 3,
adminCensoringTime = 7,
interimLookTime = c(1, 2, 3, 5, 7),
type1ErrorForResponse = 0.05,
type2ErrorForResponse = 0.01,
glrBoundarySidedness = "one", # one sided or two-sided
type1Error = 0.05,
type2Error = 0.10,
epsType1 = 1/3,
epsType2 = 1/3)
trueParameters <- list(p0 = 0.3,
p1 = 0.3,
pdiffHyp=0.3,
theta = list(
alpha = 0,
beta = 0,
gamma = 0),
baselineLambda = 0.35,
etaHyp = 0.25)
rngSeed <- 9872831
sp23Design <- generateSP23Design(trueParameters, trialParameters)
d <- generateClinicalTrialData(nRec = trialParameters$numberRecruitedEachYear,
nFUp = trialParameters$followupTime,
pi0 = trueParameters$p0,
pi1 = trueParameters$p1,
theta = trueParameters$theta,
lambda0 = trueParameters$baselineLambda)
dInterim <- generateInterimData(d, trialParameters$interimLookTime[1],
trialParameters$adminCensoringTime)
dInterim <- dInterim[order(dInterim$timeToEvent), ]
## This is a tricky function to use for all but the first interim look;
## see executeSP23Design code for details! Reason: interim look k depends
## on results of interim look k-1
##
performInterimLook(1, sp23Design$trueParameters, trialParameters, sp23Design$glrBoundary,
dInterim, sp23Design$interimLookHistoryDF,
argRejectH0R = FALSE)
# }
Run the code above in your browser using DataLab