adoptr (version 1.1.1)

OneStageDesign-class: One-stage designs

Description

OneStageDesign implements a one-stage design as special case of a two-stage design, i.e. as sub-class of TwoStageDesign. This is possible by defining n₂ = 0, c = c₁^f = c₁^e, c₂(x₁) = ifelse(x₁ < c, Inf, -Inf). No integration pivots etc are required (set to NaN).

Usage

OneStageDesign(n, ...)
# S4 method for numeric
OneStageDesign(n, c, event_rate)
# S4 method for OneStageDesign
TwoStageDesign(n1, event_rate, order = 5L, eps = 0.01, ...)
# S4 method for OneStageDesignSurvival
TwoStageDesign(n1, order = 5L, eps = 0.01, ...)
# S4 method for OneStageDesign
plot(x, y, ...)

Arguments

n

sample size (stage-one sample size)

...

further optional arguments

c

rejection boundary (c = c₁^f = c₁^e)

event_rate

probability that a subject in either group will eventually have an event, only needs to be specified for time-to-event endpoints.

n1

OneStageDesign object to convert, overloaded from TwoStageDesign

order

integer >= 2, default is 5; order of Gaussian quadrature integration rule to use for new TwoStageDesign.

eps

numeric > 0, default = .01; the single critical value c must be split in a continuation interval [c1f, c1e]; this is given by c +/- eps.

x

design to plot

y

not used

Details

Note that the default plot,TwoStageDesign-method method is not supported for OneStageDesign objects.

See Also

TwoStageDesign, GroupSequentialDesign-class

Examples

design <- OneStageDesign(30, 1.96)
summary(design)
design_twostage <- TwoStageDesign(design)
summary(design_twostage)
design_survival <- OneStageDesign(30, 1.96, 0.7)

TwoStageDesign(design_survival)