GroupSequentialDesign-class: Group-sequential two-stage designs

In adoptr: Adaptive Optimal Two-Stage Designs

Group-sequential two-stage designs

Description

Group-sequential designs are a sub-class of the TwoStageDesign class with constant stage-two sample size. See TwoStageDesign for slot details. Any group-sequential design can be converted to a fully flexible TwoStageDesign (see examples section).

Usage

GroupSequentialDesign(n1, ...)

## S4 method for signature 'numeric'
GroupSequentialDesign(
  n1,
  c1f,
  c1e,
  n2_pivots,
  c2_pivots,
  order = NULL,
  event_rate,
  ...
)

## S4 method for signature 'GroupSequentialDesign'
TwoStageDesign(n1, event_rate, ...)

## S4 method for signature 'GroupSequentialDesignSurvival'
TwoStageDesign(n1, ...)

Arguments

n1	stage one sample size or GroupSequentialDesign object to convert (overloaded from TwoStageDesign)
...	further optional arguments
c1f	early futility stopping boundary
c1e	early efficacy stopping boundary
n2_pivots	numeric of length one, stage-two sample size
c2_pivots	numeric vector, stage-two critical values on the integration pivot points
order	of the Gaussian quadrature rule to use for integration, set to length(c2_pivots) if NULL, otherwise first value of c2_pivots is repeated 'order'-times.
event_rate	probability that a subject in either group will eventually have an event, only needs to be specified for time-to-event endpoints.

See Also

TwoStageDesign for superclass and inherited methods

Examples

design <- GroupSequentialDesign(25, 0, 2, 25, c(1, 1.5, 2.5))
summary(design)

design_survival <- GroupSequentialDesign(25, 0, 2, 25, c(1, 1.5, 2.5), event_rate = 0.7)

TwoStageDesign(design)

TwoStageDesign(design_survival)

adoptr documentation built on Oct. 3, 2024, 1:08 a.m.