get_p_KC: Calculates the p-value.

In OneArmPhaseTwoStudy: Planning, Conducting, and Analysing Single-Arm Phase II Studies

Description

Calculates the p-value for a Simon's two-stage design based on the work from Koyama and Chen.

Usage

get_p_KC(k, r1, n1, n, p0)

Arguments

k	overall observed responses.
r1	critical value for the first stage.
n1	sample size for the first stage.
n	overall sample size.
p0	response probability under the null hypothesis.

References

Koyama T and Chen H (2008): Proper inference from Simon's two-stage designs. Statistics in Medicine, 27(16):3145-3154.

Examples

#Calculate a Simon's two-stage design
design <- getSolutions()$Solutions[3,] #minimax-design for the default values.

#Assume 9 responses were observed in the whole trial.
k = 9

p_val <- get_p_KC(k, design$r1, design$n1, design$n, design$p0)

OneArmPhaseTwoStudy documentation built on May 2, 2019, 9:28 a.m.