View source: R/functions_multiarm_binary.R
PsProg_binary | R Documentation |
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.
PsProg_binary(
RRgo,
n2,
alpha,
beta,
p0,
p11,
p12,
step1,
step2,
strategy,
case
)
RRgo |
threshold value for the go/no-go decision rule |
n2 |
total sample size for phase II; must be divisible by three |
alpha |
significance level |
beta |
1-beta power for calculation of sample size for phase III |
p0 |
assumed true rate of control group |
p11 |
assumed true rate of treatment group |
p12 |
assumed true rate of treatment group |
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) |
The function PsProg_binary() returns the probability of a successful program
res <- PsProg_binary(RRgo = 0.8 ,n2 = 50 ,alpha = 0.05, beta = 0.1,
p0 = 0.6, p11 = 0.3, p12 = 0.5, step1 = 1, step2 = 0.95,
strategy = 3, case = 31)
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