plotPhII: Plot function for Probability of conclusions of a PhII design

In IDDI-BE/PhIIdesign: Sample Size Calculation for Phase II Designs

Description

Plots the probability of rejecting H0 ('Positive result') and rejecting Ha
('Negative result') for different true response binomial parameters
if the input is an object returned by fleming1stage, simon2stage, simon2stage, sargent1stage or sargent2stage, interactively choose
the design number

Usage

plotPhII(
  x,
  design_nr = 1,
  main = "PhII design",
  xlab = "True response probability",
  grid = "Y",
  ylab,
  ...
)

Arguments

x	an object returned by fleming1stage, simon2stage, simon2stage, sargent1stage or sargent2stage
design_nr	design_nr returned by fleming1stage, simon2stage, simon2stage, sargent1stage or sargent2stage default is 1 (for sargent1stage, only one design is outputted)
main	title of the graph, passed on to plot
xlab	x-axis label of the graph, passed on to plot
grid	add grid to plot ("Y" or "N")
ylab	y-axis label of the graph, passed on to plot
...	other arguments passed on to plot

References

Sargent DJ, Chan V, Goldberg RM. A three-outcome design for phase II clinical
trials. Control Clin Trials. 2001;22(2):117-125. doi:10.1016/s0197-2456(00)00115-x
Simon R. Optimal two-Stage Designs for Phase II Clinical Trials.
Control Clin Trials. 1989;10:1-10

Examples

fleming1 <- fleming1stage(p0 = 0.45, pa = 0.7, alpha = 0.05, beta = 0.2)
plotPhII(fleming1)
simon2<- simon2stage(p0 = 0.1, pa = 0.3, alpha = 0.05, beta = 0.2,
                     eps = 0.005, N_min = 1, N_max = 50)
plotPhII(simon2)

sargent1 <- sargent1stage(p0 = 0.2, pa = 0.35, alpha = 0.1, beta = 0.1, eta = 0.8, pi = 0.8,
                         eps = 0.005, N_min = 35, N_max = 50)
plotPhII(sargent1)

sargent2 <- sargent2stage(p0 = 0.1, pa = 0.3, alpha = 0.05, beta = 0.1,
                          eta = 0.8, pi = 0.8,
                          eps = 0.005, N_min = 15, N_max = 30)
plotPhII(sargent2,design_nr=1)

IDDI-BE/PhIIdesign documentation built on June 5, 2021, 2:03 p.m.