PsProg_normal: Probability of a successful program for multiarm programs...

In Sterniii3/drugdevelopR: Utility-Based Optimal Phase II/III Drug Development Planning

Probability of a successful program for multiarm programs with normally distributed outcomes

Description

Given we get the "go"-decision in phase II, this functions now calculates the probability that the results of the confirmatory trial (phase III) are significant, i.e. we have a statistically relevant positive effect of the treatment.

Usage

PsProg_normal(
  kappa,
  n2,
  alpha,
  beta,
  Delta1,
  Delta2,
  step1,
  step2,
  strategy,
  case
)

Arguments

kappa	threshold value for the go/no-go decision rule
n2	total sample size for phase II; must be even number
alpha	significance level
beta	1-beta power for calculation of sample size for phase III
Delta1	assumed true treatment effect for standardized difference in means
Delta2	assumed true treatment effect for standardized difference in means
step1	lower boundary for effect size
step2	upper boundary for effect size
strategy	choose Strategy: 1 ("only best promising"), 2 ("all promising") or 3 (both)
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 PsProg_normal() returns the probability of a successful program.

Examples

res <- PsProg_normal(kappa = 0.1 ,n2 = 50 ,alpha = 0.05, beta = 0.1,
                            Delta1 = 0.375, Delta2 = 0.625,  step1 = 0, step2 = 0.5,
                            strategy = 3, case = 31)

Sterniii3/drugdevelopR documentation built on Jan. 26, 2024, 6:17 a.m.