test.NI {dani} | R Documentation |
A function for testing non-inferiority on either the risk difference, log-risk ratio or arc-sine difference scale.
test.NI(n0, n1, e0, e1, NIm, sig.level=0.025, scale="RD", print.out=TRUE)
e0 |
Number of events in the control arm. |
e1 |
Number of events in the active arm. |
n0 |
Total sample size of the control arm. |
n1 |
Total sample size of the active arm. |
NIm |
Non-inferiority margin on the specified scale. |
sig.level |
One-sided significance level for testing. Default is 0.025, i.e. 2.5%. |
scale |
The scale on which we define the non-inferiority margin. Can be one of "RD" (Risk difference), "RR" (log-risk ratio) or "AS" (arc-sine difference). |
print.out |
Logical. If FALSE, no output is printed. |
This is a function to test non-inferiority of an active treatment against the control within a specific NI margin. The margin can be specified on a number of different scales.
The output is a list, containing the estimate, standard error, cofidence interval (two-sided 2*alpha level), Z statistic and p-value. For the riskdifference scale, the CI is provided both with the standard normal approximation and using newcombe 10 method, as per function ci.pd in package Epi.
n0<-1000 n1<-1000 e0<-0.05*n0 e1<-0.05*n1 NImRD=0.05 NImRR=log(2) NImAS=asin(sqrt(0.1))-asin(sqrt(0.05)) alpha=0.025 test<-test.NI(n0=n0, n1=n1, e0=e0, e1=e1, NIm=NImRD, sig.level=alpha, scale = "RD") test2<-test.NI(n0=n0, n1=n1, e0=e0, e1=e1, NIm=NImRR, sig.level=alpha, scale = "RR") test3<-test.NI(n0=n0, n1=n1, e0=e0, e1=e1, NIm=NImAS, sig.level=alpha, scale = "AS")