weibull.plot: Plot Weibull Survival Curves

In OptInterim: Optimal Two and Three Stage Designs for Single-Arm and Two-Arm Randomized Controlled Trials with a Long-Term Binary Endpoint

Description

Plot Weibull survival curves with differences at a target time highlighted. Designed for use with the param values input to function OptimDes.

Usage

weibull.plot(param, x, l.type = 1:3, l.col = c("blue", "red"), ...)

Arguments

param	Events should be defined as poor outcomes. Computations and reporting are based on the proportion without an event at a pre-specified time, x. For constructing an optimal design, complete event-free distributions at all times must be specified for the control condition (Null), and for the alternative "effective" treatment. Weibull distributions are currently implemented. param is a vector of length 4: (shape null, scale null, shape alternative, scale alternative). The R parameterization of the Weibull distribution is used.
x	Pre-specified time for the event-free endpoint (e.g., 1 year).
l.type	Line types for the plot. Default is 1-3.
l.col	Line colors for the plot. Default is "blue" for the null survival curve, "red" for the alternative survival curve.
...	Further graphical arguments, see plot.default.

Author(s)

Bo Huang <[e-mail]> and Neal Thomas <[e-mail]>

References

Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, volume 1, chapter 21. Wiley, New York.

See Also

dweibull, OptimDes, weibPmatch

Examples

param <- c(1, 1.09, 2, 1.40)
x <- 1

weibull.plot(param,x)

OptInterim documentation built on May 2, 2019, 2:07 p.m.