Description Usage Arguments Value Author(s) References See Also Examples
Plots flexible hazard ratio curves allowing non-linear relationships between continuous predictors and survival. To better understand the effects that each continuous covariate has on the outcome, results are expressed in terms of hazard ratio curves, taking a specific covariate value as reference. Confidence bands for these curves are also derived.
1 2 3 |
x |
An object of class HR |
predictor |
Variable named in the formula or included as a predictor in the |
prob |
Value between 0 and 1. If |
pred.value |
Value from the variable |
conf.level |
Level of confidence. Defaults to 0.95 (corresponding to 95%). |
round.x |
Rounding of numbers in the plot. |
ref.label |
Label for the reference covariate. By default is the name of the covariate. |
col |
Vector of dimension 3 for the colors to plot. |
main |
These arguments to title have useful defaults here. |
xlab |
The range of x and y values with sensible defaults. |
ylab |
The range of x and y values with sensible defaults. |
lty |
Vector of dimension 2 for the line type. |
xlim |
The range of x and y values with sensible defaults. |
ylim |
The range of x and y values with sensible defaults. |
xx |
Vector of values (from the variable |
... |
Other arguments. |
No value is returned.
Artur Araújo and Luís Meira-Machado
Carmen Cadarso-Suarez, Luis Meira-Machado, Thomas Kneib and Francisco Gude. Flexible hazard ratio curves for continuous predictors in multi-state models: a P-spline approach. Statistical Modelling, 2010, 10:291-314
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # Example 1
library(survival)
data(whas500)
fit <- coxph(Surv(lenfol, fstat)~age+hr+gender+diasbp+pspline(bmi)+pspline(los),
data=whas500, x=TRUE)
hr1 <- smoothHR(data=whas500, coxfit=fit)
plot(hr1, predictor="bmi", prob=0, conf.level=0.95)
# Example 2
hr2 <- smoothHR( data=whas500, time="lenfol", status="fstat", formula=~age+hr+gender+diasbp+
pspline(bmi)+pspline(los) )
plot(hr2, predictor="los", pred.value=7, conf.level=0.95, xlim=c(0,30), round.x=1,
ref.label="Ref.", xaxt="n")
xx <- c(0, 5, 10, 15, 20, 25, 30)
axis(1, xx)
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Loading required package: survival
Loading required package: splines
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