get_conditionalPower {OneArmPhaseTwoStudy} | R Documentation |
Calculates the conditional power of a given subset design.
get_conditionalPower(t, u, enrolled, r1, n1, r, s, n, pc1, pt1, sub1 = setupSub1Design())
t |
observed responses in the subset endpoint. |
u |
observed responses in the superset endpoint. |
enrolled |
number of patients enrolled so far. |
r1 |
critical value for the first stage. |
n1 |
sample size for the first stage. |
r |
critical value for the subset endpoint. |
s |
critical value for the superset endpoint. |
n |
overall sample size. |
pc1 |
the response probability under the alternative hypothesis for the subset endpoint. |
pt1 |
the response probability under the alternative hypothesis for the superset endpoint. |
sub1 |
"sub1"-object used to calculate the p value in c++ . |
#Setup "sub1"-object sub1 <- setupSub1Design(pc0 = 0.5, pt0 = 0.6) #Calculate a subset design design <- getSolutionsSub1(sub1, skipN1 = FALSE)$Solutions[4,] t <- 5 u <- 7 enrolled <- 10 con_p <- get_conditionalPower(t, u, enrolled, design$r1, design$n1, design$r, design$s, design$n, design$pc1, design$pt1, sub1)