View source: R/build_ss_norm.R
build_ss_norm | R Documentation |
build_ss_norm()
builds a single-stage multi-arm clinical trial design
object assuming the primary outcome variable is normally distributed, like
those returned by des_ss_norm
.
build_ss_norm(
n = rep(98, 3),
alpha = 0.025,
beta = 0.1,
delta1 = 0.5,
delta0 = 0,
sigma = rep(1, K + 1),
correction = "dunnett",
power = "marginal",
summary = F
)
n |
A |
alpha |
A |
beta |
A |
delta1 |
A |
delta0 |
A |
sigma |
A |
correction |
A |
power |
A |
summary |
A |
A list
of class "multiarm_des_ss_norm"
containing the following elements
A tibble
in the slot $opchar
summarising the
operating characteristics of the chosen design.
A numeric
in the slot $N
specifying
N, the trial's total required sample
size.
A numeric
in the slot $gamma
specifying the
critical threshold for p-values,
γ, below which null
hypotheses would be rejected. Will be NA
if correction
is not a single-step testing procedure.
A numeric
vector in the slot $gammaO
specifying
the critical thresholds for ordered p-values,
γ, to use with
the chosen step-wise testing procedure. Will be NA
if
correction
is not a step-wise testing procedure.
A matrix
in the slot $CovZ
specifying the
covariance matrix,
Cov(Z), of the
standardised test statistics.
A numeric
vector in the slot $ratio
specifying the
vector of allocation ratios,
r.
Each of the input variables.
des_ss_norm
, opchar_ss_norm
,
plot.multiarm_des_ss_norm
, sim_ss_norm
.
# The design for the default parameters
des <- build_ss_norm()
# Modifying the number of experimental treatments and the sample size in each
# arm
des_K_n <- build_ss_norm(n = rep(100, 4))
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