plot.ewoc2simu {EWOC.Comb}

EWOC for 2 drugs combination trial design characteristics

Description

Function to plot the trial design characteristics from EWOC 2 drugs combination simulation results

Usage

## S3 method for class 'ewoc2simu'
plot(x, type = "MTD", conf.reg=0.9, plot.figure="Y",...)

Arguments

x

an object of class "ewoc2simu", usually a result of a call to ewoc2simu

type

a character indicating the type of plots a user requests, could be "MTD", "bias", or "percent". For discrete simulations, "bias" is not available

conf.reg

confidence level that controls the region of the doses from the last trial in the MTD plot

plot.figure

a character indicating whether user wants the plot, 'Y' would be yes, otherwise would be no. It's mainly for internal uses

...

arguments passed to or from methods

Value

No return value, called for side effects.

References

Tighiouart M, Li Q and Rogatko A. A Bayesian adaptive design for estimating the maximuym tolerated dose curve using drug combinations in cancer phase I clinical trials. Statistics in Medicine. 2017, 36: 280-290.

Examples

# continous 
test1 = ewoc2simu(ntrials=10, nsamples=40, type="c", trho00=0.01,trho01=0.2, trho10=0.9,teta=20, 
Min.Dose.A=0, Max.Dose.A=1, Min.Dose.B=0, Max.Dose.B=1, alpha=0.25, theta=0.20, a01=1,b01=1,
a10=1,b10=1, a00=1,b00=1,a=0.8,b=0.0384)

print(test1)
plot(test1, type="MTD")
plot(test1, type="bias")
plot(test1, type="percent")

# discrete
tp = c(0.03,0.05,0.08,0.05,0.08,0.13,0.08,0.13,0.2,0.13,0.2,0.29,0.2,0.29,0.4,0.29,0.4,0.53)
test2 = ewoc2simu(ntrials=10, nsamples=40, type="d", nx=6, ny=3, tp=tp, 
Min.Dose.A=0, Max.Dose.A=1, Min.Dose.B=0, Max.Dose.B=1, alpha=0.25, theta=0.20, 
a01=1,b01=1,a10=1,b10=1,a00=1,b00=1,a=0.8,b=0.0384)

print(test2)
plot(test2, type="MTD")
plot(test2, type="percent")