Description Usage Arguments Details Value See Also Examples
Determines possible confidence intervals at the end of a
group sequential single-arm trial for a single binary endpoint, as determined
using des_gs()
. Support is available to compute confidence intervals
using the naive ("naive"
), exact ("exact"
), and Mid-p
("mid_p"
) approaches.
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des |
An object of class |
k |
Calculations are performed conditional on the trial stopping in one
of the stages listed in vector |
pi |
A vector of response probabilities to evaluate the expected
performance of the point estimation procedures at. This will internally
default to be the π0
and π1 from
|
alpha |
Level to use in confidence interval construction. Defaults to
the value of α used in the
construction of |
method |
A vector of methods to use to construct confidence intervals.
Currently, support is available to use the naive ( |
summary |
A logical variable indicating whether a summary of the function's progress should be printed to the console. |
In addition, the performance of the chosen confidence interval determination procedures (including their coverage and expected length) for each value of pi) in the supplied vector pi), will also be evaluated.
Calculations are performed conditional on the trial stopping in one of the
stages specified using the input (vector) k
.
A list of class "sa_ci_gs"
containing the following elements
A tibble in the slot $ci
summarising the possible confidence
intervals at the end of the trial for the supplied design, according to the
chosen methods.
A tibble in the slot $perf
summarising the performance of the
chosen confidence interval determination procedures for each specified value
of π.
Each of the input variables as specified, subject to internal modification.
des_gs
, opchar_gs
, est_gs
,
pval_gs
, and their associated plot
family of functions.
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