OneArmPhaseTwoStudy (version 1.0.3)

getCE: Calculates the conditional error.

Description

Calculates the conditional error at the interim analysis for a given Simon's design with "k" responses.

Usage

getCE(design, k)

Arguments

design

a dataframe containing all critical values for a Simon's two-stage design defined by the colums "r1", "n1", "r", "n" and "p0".

• r1 = critical value for the first stage (more than "r1" responses needed to proceed to the second stage).

• n1 = number of patients enrolled in the first stage.

• r = critical value for the whole trial (more than "r" responses needed at the end of the study to reject the null hypothesis).

• n = number of patients enrolled in the whole trial.

• p0 = response probability under the null hypothesis

k

number of responses observed at the interim analysis.

Examples

# NOT RUN {
design <- getSolutions()$Solutions[1,]
conditional_error <- getCE(design, 4)
# }