# hazard.ratio.plot

From rms v2.0-2
0th

Percentile

##### Hazard Ratio Plot

The hazard.ratio.plot function repeatedly estimates Cox regression coefficients and confidence limits within time intervals. The log hazard ratios are plotted against the mean failure/censoring time within the interval. Unless times is specified, the number of time intervals will be $\max(round(d/e),2)$, where $d$ is the total number of events in the sample. Efron's likelihood is used for estimating Cox regression coefficients (using coxph.fit). In the case of tied failure times, some intervals may have a point in common.

Keywords
survival
##### Usage
hazard.ratio.plot(x, Srv, which, times=, e=30, subset,
conf.int=.95, legendloc=NULL, smooth=TRUE, pr=FALSE, pl=TRUE,
add=FALSE, ylim, cex=.5, xlab="t", ylab, antilog=FALSE, ...)
##### Arguments
x
a vector or matrix of predictors
Srv
a Surv object
which
a vector of column numbers of x for which to estimate hazard ratios across time and make plots. The default is to do so for all predictors. Whenever one predictor is displayed, all other predictors in the x matrix are adjusted f
times
optional vector of time interval endpoints. Example: times=c(1,2,3) uses intervals [0,1), [1,2), [2,3), [3+). If times is omitted, uses intervals containing e events
e
number of events per time interval if times not given
subset
vector used for subsetting the entire analysis, e.g. subset=sex=="female"
conf.int
confidence interval coverage
legendloc
location for legend. Omit to use mouse, "none" for none, "ll" for lower left of graph, or actual x and y coordinates (e.g. c(2,3))
smooth
also plot the super--smoothed version of the log hazard ratios
pr
defaults to FALSE to suppress printing of individual Cox fits
pl
defaults to TRUE to plot results
ylim
vector of y-axis limits. Default is computed to include confidence bands.
cex
character size for legend information, default is 0.5
xlab
label for x-axis, default is "t"
ylab
label for y-axis, default is "Log Hazard Ratio" or "Hazard Ratio", depending on antilog.
antilog
default is FALSE. Set to TRUE to plot anti-log, i.e., hazard ratio.
...
optional graphical parameters

cox.zph, residuals.cph, coxph.fit, cph, coxph, Surv

##### Aliases
• hazard.ratio.plot
##### Examples
n <- 500
set.seed(1)
age <- 50 + 12*rnorm(n)
cens <- 15*runif(n)
h <- .02*exp(.04*(age-50))
d.time <- -log(runif(n))/h
label(d.time) <- 'Follow-up Time'
e <- ifelse(d.time <= cens,1,0)
d.time <- pmin(d.time, cens)
units(d.time) <- "Year"
hazard.ratio.plot(age, Surv(d.time,e), e=20, legendloc='ll')
Documentation reproduced from package rms, version 2.0-2, License: GPL (>= 2)

### Community examples

Looks like there are no examples yet.