EPsProg_multitrial_normal | R Documentation |
These functions calculate the expected probability of a successful program given the parameters.
Each function represents a specific strategy, e.g. the function EpsProg3_normal()
calculates the expected probability if three phase III trials are performed.
The parameter case specifies how many of the trials have to be successful, i.e. how many trials show a significantly relevant positive treatment effect.
EPsProg2_normal(
kappa,
n2,
alpha,
beta,
w,
Delta1,
Delta2,
in1,
in2,
a,
b,
case,
size,
fixed
)
EPsProg3_normal(
kappa,
n2,
alpha,
beta,
w,
Delta1,
Delta2,
in1,
in2,
a,
b,
case,
size,
fixed
)
EPsProg4_normal(
kappa,
n2,
alpha,
beta,
w,
Delta1,
Delta2,
in1,
in2,
a,
b,
case,
size,
fixed
)
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 |
|
w |
weight for mixture prior distribution |
Delta1 |
assumed true treatment effect for standardized difference in means |
Delta2 |
assumed true treatment effect for standardized difference in means |
in1 |
amount of information for |
in2 |
amount of information for |
a |
lower boundary for the truncation |
b |
upper boundary for the truncation |
case |
choose case: "at least 1, 2 or 3 significant trials needed for approval" |
size |
size category |
fixed |
choose if true treatment effects are fixed or random |
The following cases can be investigated by the software:
Two phase III trials
Case 1: Strategy 1/2; at least one trial significant, the treatment effect of the other one at least showing in the same direction
Case 2: Strategy 2/2; both trials significant
Three phase III trials
Case 2: Strategy 2/3; at least two trials significant, the treatment effect of the other one at least showing in the same direction
Case 3: Strategy 3/3; all trials significant
Four phase III trials
Case 3: Strategy 3/4; at least three trials significant, the treatment effect of the other one at least showing in the same direction
The output of the function EPsProg2_normal()
, EPsProg3_normal()
and EPsProg4_normal()
is the expected probability of a successful program when performing several phase III trials (2, 3 or 4 respectively).
EPsProg2_normal(kappa = 0.1, n2 = 50, alpha = 0.025, beta = 0.1, w = 0.3,
Delta1 = 0.375, Delta2 = 0.625, in1 = 300, in2 = 600,
a = 0.25, b = 0.75,
case = 2, size = "small", fixed = FALSE)
EPsProg3_normal(kappa = 0.1, n2 = 50, alpha = 0.025, beta = 0.1, w = 0.3,
Delta1 = 0.375, Delta2 = 0.625, in1 = 300, in2 = 600,
a = 0.25, b = 0.75,
case = 2, size = "small", fixed = TRUE)
EPsProg4_normal(kappa = 0.1, n2 = 50, alpha = 0.025, beta = 0.1, w = 0.3,
Delta1 = 0.375, Delta2 = 0.625, in1 = 300, in2 = 600,
a = 0.25, b = 0.75,
case = 3, size = "small", fixed = TRUE)
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