plot.coxphw

0th

Percentile

Plot Weights of Weighted Estimation in Cox Regression

This function plots the weights used in a weighted Cox regression analysis against time.

Keywords
survival
Usage
# S3 method for coxphw
plot(x, rank = FALSE, log = FALSE, legendxy = NULL,...)
Arguments
x

a coxphw object.

rank

if set to TRUE, plots the weights against ranked time. Default is FALSE.

log

if set to TRUE, shows logarithm of weights. Default is FALSE.

legendxy

an optional vector of length 2 of the x and y co-ordinates to be used to position the legend.

...

additional arguments for plotting

Details

The function plots the survival weights, i.e., the left-continuous survivor function estimates, the censoring weights, i.e., estimates of the follow-up distribution obtained by Kaplan-Meier estimation with reversed meaning of the status indicator and the combined normalized weights, i.e. the product of the survival and the censoring weights, rescaled to a mean of 1.

Value

No output value.

Note

In coxphw version 4.0.0 the new plot function replaces the old plotw function.

See Also

coxphw

Aliases
  • plot.coxphw
Examples
# NOT RUN {
data("gastric")

# weighted estimation of average hazard ratio
fit1 <- coxphw(Surv(time, status) ~ radiation, data = gastric,  template = "AHR")
plot(fit1)

# estimation of average regression effect by inverse probability of censoring weights;
# truncate weights at 95th percentile
fit2 <- coxphw(Surv(time, status) ~ radiation, data = gastric, template = "ARE",
               trunc.weights = 0.95)
plot(fit2)
# }
Documentation reproduced from package coxphw, version 4.0.1, License: GPL-2

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