View source: R/plot_auc_curve.r
plot_rmtl_curve | R Documentation |
A function to graphically display the Restricted Mean Time Lost (RMTL) over time, using confounder-adjusted survival curves which were previously estimated using the adjustedsurv
function, or cause-specific confounder-adjusted CIFs which were previously estimated using the adjustedcif
function. As the other plot functions in this package, it internally uses the ggplot2 package and allows a variety of options. Alternatively plots the difference between or ratio of two adjusted RMTL curves.
plot_rmtl_curve(adj, times=NULL, conf_int=FALSE,
conf_level=0.95, interpolation="steps",
contrast="none", group_1=NULL, group_2=NULL,
max_t=Inf, color=TRUE, linetype=FALSE,
facet=FALSE, size=1, alpha=1, xlab="Time",
ylab="RMTL", title=NULL, subtitle=NULL,
legend.title="Group", legend.position="right",
gg_theme=ggplot2::theme_classic(),
custom_colors=NULL, custom_linetypes=NULL,
conf_int_alpha=0.4,
line_at_ref=TRUE, line_at_ref_size=0.7,
line_at_ref_color="grey",
line_at_ref_linetype="dashed",
line_at_ref_alpha=1, ...)
adj |
An |
times |
A vector of points in time, passed to the |
conf_int |
A logical variable indicating whether the bootstrap confidence intervals should be drawn. |
conf_level |
Corresponds to the argument of the same name in the |
interpolation |
Corresponds to the argument of the same name in the |
contrast |
Which contrast between two adjusted RMST curves should be plotted. Should be one of |
group_1 |
A single character string specifying one of the possible levels of |
group_2 |
See argument |
max_t |
A number indicating the latest survival time which is to be plotted. |
color |
A logical variable indicating whether the curves should be colored differently. The |
linetype |
A logical variable indicating whether the curves should have different linetypes. The |
facet |
A logical variable indicating whether the curves should be in different facets. |
size |
A number controlling the thickness of the RMTL curves. |
alpha |
A number controlling the transparency level of the RMTL curves. |
xlab |
A character string to be used as the X-Axis label of the plot. |
ylab |
A character string to be used as the Y-Axis label of the plot. |
title |
A character string to be used as the title of the plot. Set to |
subtitle |
A character string to be used as the subtitle of the plot. Set to |
legend.title |
A character string to be used as the title of the legend. Set to |
legend.position |
A character string specifying the position of the legend. Ignored if |
gg_theme |
A |
custom_colors |
A (named) vector to specify the colors of each adjusted RMTL curve and possibly its confidence region. Set to |
custom_linetypes |
A (named) vector to specify the linetype of each adjusted RMTL curve. Set to |
conf_int_alpha |
A number indicating the level of transparency that should be used when drawing the confidence regions. |
line_at_ref |
Whether to draw a line at the reference value. This line is drawn at 0 if |
line_at_ref_size |
A single number specifying the thickness of the line at the reference value. |
line_at_ref_color |
A single character string specifying the color of the line at the reference value. |
line_at_ref_linetype |
A single character string specifying the linetype of the line at the reference value. |
line_at_ref_alpha |
A single number between 0 and 1 specifying the transparency level of the line at the reference value. |
... |
Currently not used. |
This function simply calls the adjusted_rmtl
for a range of to
values, getting adjusted RMTL estimates over the whole range of the survival curves or CIFs. Those estimates are then plotted as a curve with the adjusted RMTL replacing the survival probability or the failure probability on the Y-Axis. For a brief description on the RMTL and how it is calculated in this package, see the documentation of the adjusted_rmtl
function. Literature describing the RMTL Curve Plots in more detail is given in the references section.
If confidence intervals are specified and there are many points in time in times
, this function might get somewhat slow. It will be even slower if multiple imputation was also used when creating the adjustedsurv
or adjustedcif
object.
Returns a ggplot2
object.
Robin Denz
Lihui Zhao, Brian Claggett, Lu Tian, Hajime Uno, Marc A. Pfeffer, Scott D. Solomon, Lorenzo Trippa, and L. J. Wei (2016). "On the Restricted Mean Survival Time Curve in Survival Analysis". In: Biometrics 72.1, pp. 215-221
adjustedsurv
, adjustedcif
, adjusted_rmtl
, ggplot
library(adjustedCurves)
library(survival)
if (requireNamespace("ggplot2") & requireNamespace("riskRegression")) {
library(ggplot2)
set.seed(42)
# simulate some data as example
sim_dat <- sim_confounded_surv(n=50, max_t=1.2)
sim_dat$group <- as.factor(sim_dat$group)
# estimate a cox-regression for the outcome
cox_mod <- coxph(Surv(time, event) ~ x1 + x2 + x3 + x4 + x5 + x6 + group,
data=sim_dat, x=TRUE)
# use it to calculate adjusted survival curves with bootstrapping
adjsurv <- adjustedsurv(data=sim_dat,
variable="group",
ev_time="time",
event="event",
method="direct",
outcome_model=cox_mod,
conf_int=TRUE,
bootstrap=TRUE,
n_boot=15) # should be much bigger in reality
# plot the curves with default values
plot_rmtl_curve(adjsurv)
# plot with confidence intervals
plot_rmtl_curve(adjsurv, conf_int=TRUE)
# plot with difference instead
plot_rmtl_curve(adjsurv, contrast="diff")
# plot with some custom options
plot_rmtl_curve(adjsurv, max_t=0.5, linetype=TRUE,
custom_colors=c("green", "blue"))
}
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