des_dtl_norm | R Documentation |
des_dtl_norm()
determines multi-stage drop-the-losers multi-arm
clinical trial designs assuming the primary outcome variable is normally
distributed. It computes required design components and returns information
on key operating characteristics.
des_dtl_norm(
Kv = c(2, 1),
alpha = 0.025,
beta = 0.1,
delta1 = 0.5,
delta0 = 0,
sigma = 1,
ratio = 1,
power = "marginal",
type = "variable",
spacing = (1:length(Kv))/length(Kv),
integer = FALSE,
summary = FALSE
)
Kv |
A |
alpha |
A |
beta |
A |
delta1 |
A |
delta0 |
A |
sigma |
A |
ratio |
A |
power |
A |
type |
A |
spacing |
A |
integer |
A |
summary |
A |
A list
, with additional class
"multiarm_des_dtl_norm"
, containing the following elements:
A tibble
in the slot $opchar
summarising the
operating characteristics of the identified design.
A numeric
in the slot $e
specifying
e, the trial's critical rejection
boundary for the final analysis.
A numeric
in the slot $maxN
specifying
N, the trial's total required sample
size.
A numeric
in the slot $n_factor
, for internal use
in other functions.
A numeric
in the slot $n1
specifying
n1, the total sample size
required in stage one of the trial.
A numeric
in the slot $n10
specifying
n10, the sample size
required in the control arm in stage one of the trial.
Each of the input variables.
build_dtl_norm
, gui
,
opchar_dtl_norm
, plot.multiarm_des_dtl_norm
,
sim_dtl_norm
.
# The design for the default parameters
des <- des_dtl_norm()
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