coxphlb.phtest.plot: Graphical Test of the Proportional Hazards Assumption of...
In CoxPhLb: Analyzing Right-Censored Length-Biased Data

Description Usage Arguments Details References See Also Examples

Returns a plot of the cumulative sums of mean zero stochastic processes.

1	coxphlb.phtest.plot(x, n.plot = 20, seed.n = round(runif(1,1,1e09)))

`x`	The result of the `coxphlb.phtest` function.
`n.plot`	The number of randomly selected realizations. Default is 20.
`seed.n`	An integer specifying seed number.

The function returns a plot with the test statistics in a black line and 20 processes randomly sampled from the pool of resamples in grey lines. When the test statistics lie within the randomly sampled lines, it suggests that the model assumption is valid. A plot cannot be generated for the global test.

Lee, C.H., Ning, J., and Shen, Y. Model diagnostics for proportional hazards model with length-biased data. Lifetime Data Analysis 25(1), 79-96.

coxphlb, coxphlb.phtest

## Not run: 
# Fit a Cox model
fit.ee <- coxphlb(Surv(a, y, delta) ~ x1 + x2, data = ExampleData1,
                 method = "EE")

# Check the Proportional Hazards Assumption
ptest1 <- coxphlb.phtest(fit.ee, data = ExampleData1, spec.p = 2,
                        seed.n = 1234)
coxphlb.phtest.plot(ptest1, n.plot = 50, seed.n = 1234)			# display the plot

## End(Not run)