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## Create data set modeled after the Isavuconazole study
# See Study 0104 and the ITT analysis in:
# www.fda.gov/downloads/AdvisoryCommittees/
# CommitteesMeetingMaterials/Drugs/
# Anti-InfectiveDrugsAdvisoryCommittee/UCM430748.pdf
#
# Figure 20 shows that data has about 20% failures by day 42 and 30%
# failures by day 84, so we use a exponential cure model with 60% cured
# and exponential mean=60.5932 that matches those two failure rates.
# We censor only those that make it until day 100 without an event
R.Version()$version.string
set.seed(1)
n<- 258
y<- rexp(2*n,rate=1/60.5932)
cured<- rbinom(2*n,1,0.60)
y[cured==1]<- 100
status<-rep(1,2*n)
status[cured==1]<-0
z<-rep(c(1,2),each=n)
IsaSimData<-data.frame(y=y,z=z,status=status)
#nicq.test(y,g=nimDiffOR,delta0=0.10,q=0.20, z=z, status=status)
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