get_conditionalPower: Calculates the conditional power. In OneArmPhaseTwoStudy: Planning, Conducting, and Analysing Single-Arm Phase II Studies

Description

Calculates the conditional power of a given subset design.

Usage

 ```1 2``` ```get_conditionalPower(t, u, enrolled, r1, n1, r, s, n, pc1, pt1, sub1 = setupSub1Design()) ```

Arguments

 `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++ .

`setupSub1Design`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```#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) ```