summary.fut: Detailed summary of the futility design

In grpseq: Group Sequential Analysis of Clinical Trials

Description

Provide key information about the futility design, including B-/z-values, beta (type II error) spent, and power loss at each futility look as well the the sample size distribution under the null hypothesis.

Usage

## S3 method for class 'fut'
summary(object, ...)

Arguments

object	An object returned by fut.
...	further arguments passed to or from other methods.

Value

An object of class summary.fut with components:

t	A K-dimensional vector of information times.
b	A K-dimensional vector of B-values at t.
z	A K-dimensional vector of z-values at t.
type2	A K-dimensional vector of beta spent at t.
loss	A K-dimensional vector of power loss at t.
ess	Expected sample size at H_0.
...

See Also

fut, print.fut, print.summary.fut.

Examples

# see example for fut

grpseq documentation built on Dec. 7, 2021, 1:06 a.m.