t_CER: t - Test Conditional Error Rate

In floatofmath/resamplingMCP: Resampling graph-based multiple comparison procedures

Description

Computes the conditional type I error rate of a pre-planned t-test (using inverse normal combination of stage-wise t-tests) in a two-stage parallel group adaptive design. We condition on the observed first stage data and treatment assignment as well as the pre-planned second stage sample size.

Usage

t_CER(x1, g1, n, alpha = 0.025, one_sample = FALSE, ...)

Arguments

x1	First stage observations
g1	First stage treatment assignments (1 for control, -1 for treatment)
n	Preplanned overal sample size
alpha	pre-fixed significance level

Value

numeric value of the conditional error rate

Author(s)

Florian Klinglmueller

floatofmath/resamplingMCP documentation built on May 16, 2019, 1:21 p.m.