plot_confidence_set: Plots the "confidence set" according to the observed...

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

Description

Plots the "confidence set" which can be received by invoking "get_confidence_set". Also the "uniformly minimal variance unbiased estimator" and the acceptance area are included in the plot.

Usage

plot_confidence_set(t, u, r1, n1, n, pc0, pt0, alpha)

Arguments

t	observed responses in the subset endpoint.
u	observed responses in the superset endpoint.
r1	critical value for the first stage.
n1	sample size for the first stage.
n	overall sample size.
pc0	the response probability for the subset endpoint under the null hypothesis.
pt0	the response probability for the superset endpoint under the null hypothesis.
alpha	overall significance level the trial was planned for.

References

Kunz, C. U. (2011), Two-stage designs for phase II trials with one or two endpoints. http://d-nb.info/1024218457

See Also

get_confidence_set, get_UMVUE_GMS_subset_second_total, get_UMVUE_GMS

Examples

#Setup "sub1"-object
sub1 <- setupSub1Design(pc0 = 0.5, pt0 = 0.6)

#Calculate a  subset design
design <- getSolutionsSub1(sub1, skipN1 = FALSE)$Solutions[4,]

#Assume 11 responses in the subset endpoint and 12 responses in the superset endpoint were observed.
t = 10
u = 12

plot_confidence_set(t, u, design$r1, design$n1, design$n, design$pc0, design$pt0, 0.1)

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