as_ggsurvplot_df: Extract a 'data.frame' containing the estimated survival...

In RobinDenz1/adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions

Extract a data.frame containing the estimated survival curves from a adjustedsurv object

Description

A small convenience function to extract the most important quantities from an adjustedsurv object. The resulting data.frame is structured according to the format required by the ggsurvplot_df function of the survminer package, making it easy to use the ggsurvplot_df function.

Usage

as_ggsurvplot_df(adjsurv)

Arguments

adjsurv

An object of class adjustedsurv created by the adjustedsurv function.

Value

Returns a data.frame containing the required information, extracted from the adjustedsurv object.

Author(s)

Robin Denz

See Also

adjustedsurv, plot.adjustedsurv

Examples

library(adjustedCurves)
library(survival)

set.seed(42)

# simulate some example data
sim_dat <- sim_confounded_surv(n=50, max_t=1.2)
sim_dat$group <- as.factor(sim_dat$group)

# treatment assignment model
glm_mod <- glm(group ~ x2 + x3 + x5 + x6, data=sim_dat, family="binomial")

# estimate some adjusted survival curves
adjsurv <- adjustedsurv(data=sim_dat,
                        variable="group",
                        ev_time="time",
                        event="event",
                        method="iptw_km",
                        treatment_model=glm_mod,
                        conf_int=TRUE,
                        bootstrap=FALSE)

# extract info
df <- as_ggsurvplot_df(adjsurv)

# not run here to avoid dependency on survminer
if (interactive()) {
# plot using survminer, requires the 'survminer' package
ggsurvplot_df(df)
}

RobinDenz1/adjustedCurves documentation built on Sept. 27, 2024, 7:04 p.m.