pgo_normal {drugdevelopR} | R Documentation |
Probability to go to phase III for multiarm programs with normally distributed outcomes
Description
Given our parameters this function calculates the probability to go to phase III after the second phase was conducted. The considered strategies are as follows:
-
Strategy: Only best promising treatment goes to phase III
Usage
pgo_normal(kappa, n2, Delta1, Delta2, strategy, case)
Arguments
kappa |
threshold value for the go/no-go decision rule |
n2 |
total sample size for phase II; must be an even number |
Delta1 |
assumed true treatment effect for standardized difference in means |
Delta2 |
assumed true treatment effect for standardized difference in means |
strategy |
choose Strategy: 1 ("only best promising"), 2 ("all promising") |
case |
different cases: 1 ("nogo"), 21 (treatment 1 is promising, treatment 2 is not), 22 (treatment 2 is promising, treatment 1 is not), 31 (both treatments are promising, treatment 1 is better), 32 (both treatments are promising, treatment 2 is better) |
Value
The function pgo_normal() returns the probability to go to phase III for multiarm programs with normally distributed outcomes
Examples
res <- pgo_normal(kappa = 0.1, n2 = 50, Delta1 = 0.375, Delta2 = 0.625, strategy = 2, case = 31)