select.rule: Selection Rules for Interim Analysis in ASD

In asd: Simulations for Adaptive Seamless Designs

Description

Function select.rule provides a number of options for selecting treatments at an interim analysis in ASD.

Usage

select.rule(x, type = 0, epsilon = 1, thresh = 1)

Arguments

x	Vector of test statistics.
type	Decision rule type; 0, 1, 2, 3, 4, 5 or 6 (see below for details); default is 0.
epsilon	For type = 4, set epsilon criterion
thresh	For type = 6, set threshold criterion

Details

There are seven types of selction rule available:
(0) Select all treatments
(1) Select one treatment; largest value of x
(2) Select two treatments; two largest values of x
(3) Select three treatments; three largest values of x
(4) Epsilon rule; select all x within epsilon of maximum
(5) Randomly select one treatment
(6) Threshold rule; select all x larger than thresh

Value

select	Indicator vector that shows treatments selected (1) or not selected (0)
z	Vector of same length as select set to -Inf if not selected and 0 otherwise. For use with function dunnett.test

Author(s)

Nick Parsons ([e-mail])

See Also

treatsel.sim, dunnett.test, hyp.test, combn.test, simeans.binormal

Examples

# select maximum treatment
select.rule(x=c(5.3,5.2,1.3,4.5,-1.3),type=4,epsilon=1)

asd documentation built on May 2, 2019, 3:35 p.m.