dunnett.test: Dunnett Test
In asd: Simulations for Adaptive Seamless Designs

Description Usage Arguments Details Value Author(s) References See Also Examples

Implements Dunnett's test (Dunnett, 1955) for many-to-one comparisons.

1	dunnett.test(Z = Z, select = rep(1, length(Z)))

`Z`	A vector of test statistics
`select`	A vector of length `Z`; to include treatments set values to one and to exclude treatments set values to zero

A many-to-one comparison test for the the null hypothesis that all the treatment effects are equal to zero against the alternative that at least one is larger than zero.

`pvalues`	A list of matrices of p-values for all intersection hypotheses
`zscores`	A list of matrices of z-scores for all intersection hypotheses
`hyp.comb`	A list of matrices indicating the structure of the intersection hypotheses

Nick Parsons (nick.parsons@warwick.ac.uk)

Dunnett CW. A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association 1955;50:1096-1121.

treatsel.sim, combn.test, hyp.test, select.rule, simeans.binormal

dunnett.test(c(0.75,1.5,2.25))

# select two treatments only
dunnett.test(c(0.75,1.5,2.25),select=c(1,1,0))

# set test statistic to -Inf
dunnett.test(c(0.75,1.5,-Inf))